1294 results about "Microblogging" patented technology

The invention discloses a sentiment analysis method oriented to a micro-blog short text. The method comprises the following steps: step 1, collecting micro-blog data including keywords so as to store in a database; step 2, pre-processing the micro-blog data; step 3, loading associated dictionaries; step 4, processing sentence division and filtering sentences which do not include user configuration keywords; step 5, processing word division to the sentences including the keywords and labeling parts of speech; step 6, processing dependency sentence structure analysis to the sentences including subjects by a sentence structure analyzing tool; step 7, judging the polarity of each sentence including subject words; and step 8, judging the polarity of a whole micro-blog after judging the polarities of all sentences including the subject words. According to the sentiment analysis method provided by the invention, sentiment analysis is more specific, so that users can know sentiment attitude of concerned aspects from the micro-blog.

A real time information feed system comprises an interface to receive a real time information feed and a data mining engine for retrieving data concerning a subscriber. A recommendation engine automatically modifies the real time information feed according to the mined data; and a subscriber interface outputs the modified real time information for delivery to the subscriber. The data mining engine is adapted to mine data in a real time communication medium used by the subscriber, such as a micro-blogging service. The data mining engine comprises an indexer for mining and indexing the real time information feed and the subscriber data to provide a plurality of indexes; and to generate vectors representing the separate indexes and to compare the vectors to modify. The data mining engine and the recommendation engine combine recommendation and information retrieval settings from a plurality of online and offline sources to produce a single amalgamated list of results to harness a user's usage patterns and social graph activity on a social network or updating service, that further allows the generation of user profiles as part of a media recommendation system.

Knowledge of a user's profile (contextual and behavioral) can be used to predict the likely current real-time needs of the user. Confirmation of that need can be achieved by suggesting a number of personalized status updates (based on known profile information) in a form suitable for posting to micro-blogging sites. From this list, the user selects the most appropriate one to submit to a micro-blog. In doing so, valuable profile information is confirmed which allows real-time contextual recommendations to be generated to meet the recently identified need of the user. In one aspect, these recommendations comprise revenue generating opportunities.

A method, system and an apparatus of Microblog Search Engine and method are disclosed. In one aspect, a computer implemented method includes accessing a Short Message between a Broadcaster and a follower through a first Microblog Server and processing the Short Message through a Microblog Search Engine. The processing of Short Message further includes parsing the Short Message with the Microblog Search Engine, generating a Context Metadata of the Short Message, associating explicitly the Context Metadata to the Short Message. In addition the method includes, delivering the Short Message and the Context Metadata to a Requestor through the Microblog Search Engine.

The invention discloses a microblog user interest recognizing method based on text mining, and belongs to the field of text mining and natural language processing. The method includes the steps of collecting the newest topical microblog text data of a microblog text set and microblog text data of a designated user, standardizing the collected microblog text data, recognizing the newest microblog words and renewing a new word dictionary for the standardized topical microblog text data through the microblog new word recognition method, conducting Chinese character word separation on the standardized microblog text data of the designated user through the new word dictionary word separation method to achieve text vector expression, clustering the microblog text data, expressed through text vectors, of the designated user, recombining original microblog text data, extracting new text set features through a topic model, presetting topic dictionaries, calculating the weight of each topic dictionary based on the new text set features to obtain the final topic, and enabling the final topic to serve as the microblog user interest recognition, thereby improving accuracy of feature extraction.

The invention discloses a user multidimensional analysis and monitoring method based on public information of an internet user. The method comprises the steps as follows: 1), data are collected and pre-processed; 2), the pre-processed data are analyzed and mined; and 3), display and visualization are performed on results of data analysis and mined data, and the data results are collected and used. Internet user data, mainly including micro blog, qq and micro-letter data and including basic personal information of the user and network speech data and main internet business data including related channels of e-business, business forums and web portals and mainly including commodities, commodity sales, user evaluation and the like are collected; the collection is performed through a user-built calculation cluster, and undisclosed information such as age prediction and the like is predicated and complemented according to the public information. More accurate and efficient information collection and analysis can be achieved, and information of a market trend, a reputation for a consumer and the like is better grasped from a quantity angle.

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

The invention relates to a customized screening system and a customized screening method for microblog. The customized screening system for the microblog comprises a background module and an interactive module, wherein the background module is used for acquiring data, analyzing the data, performing local storage, establishing an index and providing a search function; and the interactive module performs information interaction with the background module and provides a WEB interface interacted with the background module. The system is a solution for solving the problem of information overloading, namely, a type of information which a user concerns is targetedly screened out of huge microblog data, a great deal of non-concerned information is filtered for the user, and the data can be locally stored so that the user can use the data for a long time conveniently; the safety of the system is enhanced by a verification mechanism; the working logic of the whole system is clear and smooth; the coupling degree among modules of the system is reduced; and each module consists of a plurality of modules so as to facilitate the functional expansion of each module.

The invention provides a video recommendation system and a method thereof. The video recommendation system and the method thereof comprises: acquiring multi-source data including personal information, social network information and video classification information of users by a information acquisition module; presetting the multi-source data by a data pre-processing module; storing the multi-source data after preprocessing by a user database which is established by a data storage module; enabling an analytical module of the characteristics of users to acquire feature and mood information of the users according to microblog data sent by the users and enabling an analytical module of the social network information to analyze friend groups of the users to acquire friend circles; enabling a video recommendation module to select favorable videos of the users according to the feature, mood and friend circles; enabling a front-end display module to display the selected videos for the users.

Architecture that provides enhanced tag telemetry in a microblogging communications infrastructure. The architecture provides efficient discovery and tracking of topics that are of interest to a specific user by enabling users to follow (track) hash tags (#tag) and to receive and view all messages tagged with the hash tag appear in the user's personal feed. Each hash tag has a persisted tag page that aggregates all the associated activity, and includes a list that includes, but is not limited to, the tag followers, the most frequent user (uses the tag the most often in a specific time frame), a description, related tags, for example. The user can receive all the updates in the user's personal feed, and see an aggregation of all the messages and conversations associated with the tag in single place. The user can also mute the tag to prevent the receiving of tag information.

The invention discloses a method and a device for commenting and additionally modifying a message, and is applied to an instant messaging system, a short message system, a social network, a microblog system and the like. The method comprises the following steps of: providing an interface through which a published, transmitted or received message can be modified and commented and an editable interface through which the message can be modified and commented for a user; recording the modification behaviors of the user over the message, comprising addition, deletion, modification and the like; transmitting the modification behaviors of the user over the message to a receiving party; and displaying the modified message and the modification behaviors to a receiver in a static picture, character, symbol and animation form by using a receiving party system. Therefore, the receiver seeing an error message or an ambiguous message can clearly understand the real meaning of the message through the modification of a transmitter or a publisher, the transmitter or the publisher also can eliminate an error or ambiguity in a most rapid and simplest way, and good user experiences are provided.

The present invention discloses a method for constructing a public opinion knowledge map based on hot events, and belongs to the field of natural language processing. The method comprises: obtaining microblogging texts in real time, processing each microblogging text, constructing text clusters, calculating a topic category to which each text cluster belongs, identifying hot events in each clusterby category, and collecting statistics of multi-dimensional attributes of each hot event; identifying key people and organizations involved in the discussion of the hot events and obtaining the multi-dimensional attributes of the key people and organizations; and constructing a multi-dimensional attribute system and a relationship type among events, people and organizations, taking the relationship among the events, people and organizations as association, and constructing a public opinion knowledge map. According to the method disclosed by the present invention, the hot events, people and organizations can be described from multiple dimensions, and all-directional analysis of hot events, people and organizations can be implemented; and according to the actual needs, the weight of different topic categories can be set, and construction of the public opinion knowledge map of different topics can be realized.

A method and system for assigning a rating to an entity based on a plurality of metrics, for example, assigning a rating to an entity which reflects that entity's level of environmental performance, and then assigning an indicia to the entity which reflects the rating relative to other like entities. The system includes ways to generate revenue based on the entity's use of the indicia, such as integrating the display of the indicia with search engines such that the indicia is displayed when the entity's link appears on a search results list and charging a per impression and / or a per click through microfee. The invention also comprises a filtered search facility which only features rated member entities on its search results list. A website is also provided which contains landing pages for each rated entity which may be accessed by clicking on the displayed indicia in the search results list.

The invention discloses a topic detection and tracking method based on microblog data. In the method, potential hidden subjects in large-scale social network information are mined. The method comprises the following steps: firstly, partitioning microblog data increasing massively according to time sequence properties, and filtering redundant information; secondly, analyzing and classifying text contents in time windows, returning key subject descriptions with independent semantics after extraction, and extracting topics in different time windows; and lastly, analyzing the inheritance and the identity of topics among the time windows to conclude the variation tendency of microblog topics. According to the method, the dynamic developing process of topic contents, namely, the generation, development, climax and extinction of topics can be shown, and topics are described more accurately and fully.

The invention provides a method for superimposing two-dimensional code information on the broadcast content of an outdoors multimedia information terminal. The broadcast content may comprises images, texts, audio and video, while the two-dimensional code information superimposed on the broadcast content may comprises information related to the currently broadcast video content and image content, such as the source of the content, interactive menus, website address accessed by a background, micro-blog, e-mail information, short message address and the like. If a user is interested in the broadcast content, the user can shot the two-dimensional code information on the information releasing terminal with a mobile phone, so that interactive operations related to the broadcast content can be performed on the mobile phone, such as accessing a relevant website with the internet or the short message for more details, sending order information, obtaining coupons, electronic business and information downloading and the like.

The embodiment of the invention discloses a method and device for detecting network hot topics found based on a maximal clique. The method comprises the following steps of: acquiring data of a network news website, a forum, a blog and a microblog in a real time; carrying out word segmentation, word frequency statistics and other processing on the acquired data to find all hot point word pairs and construct a hot point word pair set; expressing each hot-point word by using a unique serial number; viewing the hot point word pair set as an undirected graph and excavating the undirected graph to obtain all maximal cliques; and transforming each maximal clique into a word combination for expressing one hot point topic. The invention also discloses a device for detecting the network hot topics. According to the embodiment of the invention, the hot point topics in the network can be accurately found in a real time, the detection speed and precision of the hot point topics are improved and higher practical value is obtained.

The invention discloses an automatic microblog text abstracting method based on unsupervised key binary word extraction. The automatic microblog text abstracting method comprises the steps of preprocessing a microblog; standardizing a binary word; extracting a key binary word based on a mixed TF-IDF (term frequency-inverse document frequency), TexRank and an LDA (local data area); sequencing sentences based on the intersection similarity and a mutual information strategy; extracting abstract sentences based on a similarity threshold value; generating abstract by reasonably combining the abstract sentences. According to the automatic microblog text abstracting method, the binary word is used as a minimum vocabulary unit, and the binary word has richer text information than words, so that the sentences based on the key binary word is higher in noise immunity and accuracy than the sentences based on key word extraction; meanwhile, when the abstract sentences are extracted, the similarity threshold value is introduced to control redundancy, so that the abstract is higher in recall rate. The abstract generated by the method is accurate, simple and comprehensive; the efficiency and the quality that a user acquires knowledge are obviously improved, and the time of the user is greatly saved.

The invention discloses a system and method for recommending domain information based on a microblog platform. The system comprises a data obtaining and preprocessing module, a domain key word extracting module, a user defined key word extending module, a linear combining module, a similarity calculating and personality recommending module and a subject obtaining module; the method for recommending the domain information is designed and achieved aimed at the character of the microblog platform. According to the method, seamless combination is conducted between key word extracting and key word expanding, thus the extracting of domain character is guaranteed, the dynamism of a recommending result is also guaranteed, and through the experiment of the corresponding system based on Sina microblog, the effectiveness of the method is verified; the method can assist enterprises in microblog marketing, and thus the efficiency in microblog marketing of the enterprises can be effectively improved.

The invention discloses a micro-blog browsing method and relevant equipment. An instant communication client comprises a releasing unit for releasing group micro-blog information in a group and a display unit for displaying the group micro-blog information in the group and other group micro-blog information released in the group. In the embodiment of the invention, micro-blog is combined with the group function of an instant communication system, so that a micro-blog releasing object is more targeted and the function of ordering micro-blog information for the group is realized.

The invention discloses an internet public opinion analysis method. The internet public opinion analysis method comprises the steps of firstly for selected and acquired events, partitioning a source text of a microblog and removing partition items unrelated to sentiments; secondly making statistics by adopting a statistic analysis tool to obtain an input of a sentiment classification model; and finally for the input, modeling related words, expressions and symbols capable of expressing the sentiments in the microblog content by using a classification algorithm, giving out comprehensive sentiment index assessment, obtaining sentiment categories, and performing public opinion monitoring and sentiment trend analysis. According to the method, the words, the expressions, the symbols and the like in the microblog are subjected to sentiment modeling, and the response situations of hot events in the microblog can be automatically classified and effectively monitored through sentiment index calculation, so that the public opinion risk can be effectively assessed and intemperate events can be prevented and controlled.

The invention discloses a quick operation method and device and a mobile terminal, and belongs to the field of Internet mobile terminals. The method includes the steps of displaying preview content on a screen locking interface, wherein the preview content comprises at least one of character information, picture information, expression information, incoming message information and geographical information, and receiving operations carried out by a user on the preview content, processing the preview content according to the operations, wherein processing includes at least one of read marking, collecting marking, storing, deleting, reporting, replying, playing and updating. According to the quick operation method and device and the mobile terminal, the preview content is directly displayed on the screen locking interface, operations are directly carried out on the preview content, the problems that operations need to be carried out many times in an existing quick operation method, and the whole interaction process is redundant are solved, and the effect that a short text message can be marked read or a microblog information can be directly deleted after only three steps are carried out is achieved.

The invention provides a recognition method of named entities in microblog messages. The recognition method includes that a few named entities are specified as seeds; a certain number of microblog messages from the original microblog message set to be processed are automatically marked as a training data set; and then the training data set is utilized to train a named entity identifier and the trained named entity recognizer is utilized to recognize the named entities in the microblog messages. According to the recognition method of the named entities in the microblog messages, only a few existing seed entities need to be specified to enable a high quality training set to be automatically marked; the labor costs are significantly reduced for the microblog messages which are texts capable of being updated rapidly; and an iterative mode is utilized to generate high quality marked data step by step and each time first N newly named entities which can most reflect the appearing law of the named entities in real microblog data are selected to add into a seed bank, so that finally generated marked data can well cover the integral microblog message set.

The invention discloses a social network rumor recognition method and system. The method comprises the steps of: obtaining a microblog information case, obtaining microblog information and user information of the microblog information case, and according to the microblog information and the user information, extracting microblog content features of the microblog information case, wherein the microblog content features include a shallow text feature and a deeply implied microblog feature; extracting basic attribute features of a user and deeply implied features of the user according to the user information, and extracting microblog popularity features according to the microblog information, wherein the microblog popularity features include a volatility feature based on popularity and popularity trend, a difference feature and a forwarding feature; and establishing a feature vector and a training classifier according to the shallow text feature, the deeply implied microblog feature, the basic attribute features, the deeply implied features of the user and the microblog popularity features, inputting the feature vector into the classifier, and outputting a result.

A system that incorporates teachings of the present disclosure may operate, for example, according to a method for identifying subsets of blogs from a collection of blogs according to a relevance of each subset of blogs to one of a plurality of media programs deliverable to a plurality of subscriber devices, determining for each subset of blogs one or more trends, detecting a subscriber device from the plurality of subscriber devices, selecting a media program from the plurality of media programs, selecting one of the subsets of blogs that is relevant to the media program, and supplying the subscriber device the selected subset of blogs with the one or more trends determined for the select subset of blogs. Other embodiments are disclosed.

The invention discloses a method for analyzing the emotional tendency of Chinese microblogs. The method comprises the following steps: classifying microblog texts into original texts and forwarding or commentary texts according to the constitutive characteristics of the texts; and analyzing the emotional tendency of the microblog texts according to the types of the microblog texts. The emotional analysis method is to classify the microblog texts into the original texts and the forwarding or commentary texts according to the constitutive characteristics of the texts and then perform analysis respectively, so the method has the advantages of simplicity in implementation, low cost, high accuracy rate and the like, and has strong realistic significance and actual value.

The invention discloses a method for measuring the influence of users on the topic hierarchy for MicroBlog. The method comprises the steps of 1, calculating the similarity of MicroBlog texts; 2, obtaining a topic set according to the dynamic clustering algorithm correlation; 3, measuring the influence of the users on the topic hierarchy according to standards: calculating the information propagation influence of the users, calculating the MicroBlog value influence of the users and calculating the activeness influence of the users; 4, establishing a user influence measurement model. According to the method, the effects of the three factors of information propagation, user activeness and user MicroBlog value on the influence of the users are comprehensively considered, the user influence measurement model is established, the influence of the users on the topic hierarchy can be measured more accurately through the model, then the users playing a key role in the topic propagation can be found, and public opinion monitoring and tracing in the MicroBlog network have the guaranteeing and monitoring effects.

A method for processing micro-blogs includes, for each of a set of hashtags extracted from a collection of micro-blogs, decomposing the hashtag to generate a sequence of words and natural language processing the decomposed hashtag with rules configured for identifying syntactic dependencies and targets, such as proper names, in the dependencies. Opinion detection rules are applied to the detected dependencies which are configured for extracting opinion information from decomposed hashtags, such as a polarity based on presence of a polar term in a dependency. At least some of the hashtags in the set of hashtags are stored in a hashtag lexicon, the stored hashtags being associated with the extracted opinion information. A computer processor may perform the decomposing, natural language processing, applying opinion detection rules, and storing of the hashtags.