[PDF] Top 20 Twitter Trending Topic Summarization Using Speech Act

Twitter Trending Topic Summarization Using Speech Act

... ABSTRACT: In the world of social media such as facebook, whatsup,skype, viber, twitter, linked in,twitter is most common and widely used social media.We have seen in previous papers that there are lot of ... See full document

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Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics

... Twitter summarization is an emerging research ...traditional summarization route and mainly focused on mining tweets of both significance and ...the topic, they are incapable of providing full ... See full document

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Updates to Congressional Speech Acts on Twitter

... of Twitter by members of ...this topic and also consider specific features of the identified speech acts that had been hitherto ignored, namely the presence of hybrid speech ... See full document

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Towards Scalable Speech Act Recognition in Twitter: Tackling Insufficient Training Data

... of Twitter makes available a plethora of data to probe the communicative act of people in a social network woven by interesting events, people, topics, ...“speech act”, a long established area ... See full document

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Topic Based Bengali Opinion Summarization

... to act properly in the society rather than dealing with the topic of a ...The topic-document model of information re- trieval has been studied for a long time and sys- tems are available publicly ... See full document

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Summarization of Social Media Data Using Topic Detection

... Automatic Twitter Topic Summarization is used called as Phrase Reinforcement ...like Twitter which is accurate and ...identifying trending topics within different general categories ... See full document

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Burstyn Topic Detection from Twitter Data Using Topicsketch

... Internet, trending worldwide on Twitter and was one of the top Twitter trends in ...of Twitter has made it impossible for traditional news media, or any other manual effort, to capture most of ... See full document

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Analysis of Twitter Trending Topics via LinkAnomaly Detection

... todiscover topic trends and analyse their dynamics in ...new topic as soon as it emerges. A topic is here definedas a seminal event or activity detection and detect of topicshave been studied in the ... See full document

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Most Trending Topics with Pre-learned Knowledge in Twitter

... Traditional topic models, such as LDA and PLSA, provide powerful statistical frameworks to discover the latent topics in large text ...traditional topic models always perform poor on tweet datasets which ... See full document

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Topic Sketch: Real-time Bursty Topic Detection from Twitter

... bursty topic on Novem- ber 1st, ...Internet, trending worldwide on Twitter and was one of the top Twitter trends in ...of Twitter has made it impossible for traditional news media, or ... See full document

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Why is “SXSW” trending? Exploring Multiple Text Sources for Twitter Topic Summarization

... For general topics, the “Web” summaries outper- form the “Tweet” summaries on both grammatical- ity and non-redundancy, confirming the advantage of using the high-quality linked web pages. The referential clarity ... See full document

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ES LDA: Entity Summarization using Knowledge based Topic Modeling

... Generating summaries for voluminous Semantic Web data, and in particular RDF data, for quick identification of entities has gained considerable attention as a challenging problem in the Seman- tic Web community. In the ... See full document

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Review on Query Focused Summarization using TF-IDF, K-Mean Clustering and HMM

... text summarization are developed till date. Query focused summarization illustration approach is first derive from an intermediate illustration of the text that captures the topics mentioned within the ... See full document

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Using Structural Constraints for Speech Act Interpretation

... Using Structural Constraints for Speech Act Interpretation Using Structural Constraints for Speech Act Interpretation James F Allen & Elizabeth Hinkelman 1 Department of Computer Science University of[.] ... See full document

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Topic Model Stability for Hierarchical Summarization

... Flat Topic Models Pairwise costs are assembled into a cost matrix indexed by (k, l) and the optimal cost assignment of the model pair is determined by the Hungarian assignment ...Hierarchical Topic Models ... See full document

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Quantifying the Economic and Cultural Biases of Social Media through Trending Topic

... Figure 4. Properties of internal and external TTs. A) Ratio of External TTs; B) Ratio of External and Internal TTs that are hashtags; C) Conditional Probability of Internal or External TTs being shared; D) Percentage of ... See full document

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An Improved Machine Learning for Twitter Breaking News Extraction Based on Trend Topics

... The classical division of sentiments into positive and negative is inappropriate, because diseases are generally classified as negative. Positive emotions could arise as a result of relief about an epidemic subsiding, ... See full document

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Multi Topic Multi Document Summarization

... 1222 pdf ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? # ? ? ? ? ? % & ( * , , 2 4 2 7 8 9 ; ; > ? @ A C E @ 9 ? H I K H K C N A O P C S 9 N C E 9 N V X Y Y Z [ ] ^ ` C 9 b C ] c @ H O @[.] ... See full document

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Title: A Hybrid Approach to Single Document Extractive Summarization

... Text summarization is not an easy task as it is very subjective and there does not exist a best ...text summarization, if the relationships between sentences are not considered then salience and coverage ... See full document

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Topic Focused Multi Document Summarization Using an Approximate Oracle Score

... automatic summarization evaluation method is ROUGE (Recall Oriented Understudy for Gisting Evaluation, (Hovy and Lin 2002)), an n-gram based comparison that was mo- tivated by the machine translation evaluation ... See full document

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