[PDF] Top 20 Modeling and Characterizing Social Media Topics Using the Gamma Distribution
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Modeling and Characterizing Social Media Topics Using the Gamma Distribution
... the Gamma distribu- tion offers a useful starting point for using the shapes of the frequencies to determine whether a topic is an emerging ...and social events discussed on social ... See full document
6
Joint Modeling of Call and Put Implied Volatility
... We generate the impulse responses by simulating data according to the conditional mean profiles method proposed by Gallant et al. (1993). It turns out that after approx- imately 40 periods, the effects of all considered ... See full document
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Characterizing popularity dynamics of hot topics using micro-blogs spatio-temporal data
... technology, social media research has sprung up [37–40]. As on kind of social media, micro-blogs are widely used for sensing the ...and modeling for user-generated micro-blogs (tweets) ... See full document
16
Nationalism, Populism and Global Social Media
... over social media ...a) Social media are significant platforms for political en- gagement and crucial channels for disseminating news ...content. Social media platforms are the ... See full document
18
Optimal strategies for sustainable household organic material management in the city of Rochester, NY
... As we can see in Figure 2.8, the local SSF process takes in organic material source separated from the municipal solid waste stream at the staging area. From there, mechanical pre-treatment (grinding) and chemical ... See full document
243
Sentiment Analysis of Twitter Posts
... probability distribution of co-occurrence between a term x and all other terms in a document is biased to a particular subset of frequent terms, then term x is likely to be a ...terms using snippets ... See full document
11
Targetable Named Entity Recognition in Social Media
... other NER systems that need to retrain their statistical models as new entities arrive, our approach does not require such retraining, which makes it more adaptable for types of entities that are frequently updated. For ... See full document
11
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
... and Social Media Analysis (WASSA 2014) was to continue the line of the previous editions, bringing together researchers in Computational Linguistics working on Subjectivity and Sentiment Analysis and ... See full document
12
Topic Aware Neural Keyphrase Generation for Social Media Language
... latent topics to enrich useful ...latent topics can effectively alleviate data spar- sity in other tasks (Zeng et ...latent topics, nevertheless, have never been explored in existing keyphrase ... See full document
11
Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science
... Maury Courtland, Aida Davani, Melissa Reyes, Leigh Yeh, Jun Leung, Brendan Kennedy, Morteza Dehghani and Jason Zevin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... See full document
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What’s your story? : Designing a descriptive framework for brand stories on social media
... evaluated using semi-structured expert ...on social media, consisting of an introduction, a definition, a model (visualisation) and six design ...on social media can be described as ... See full document
87
Social media adoption in small non-profit organisations
... of social media (see ...influenced social media adoption in small ...of social media adoption. The latter included purposes of social media use, frequency of use, ... See full document
20
Digital Networks of Political Action
... trending topics on Facebook and Twitter exactly the way that citizens find out about things, but exactly as designed by the companies that created the ...specific topics doctors seeking to take action about ... See full document
26
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
... and Social Media Analysis (WASSA 2016) was to continue the line of the previous editions, bringing together researchers in Computational Linguistics working on Subjectivity and Sentiment Analysis and ... See full document
12
DIGITAL MARKETING
... Digital marketing gives greater exposure as the business can be seen everywhere in the world from one marketing campaign. Website, Email and social media channels enable the message to be shared ... See full document
6
Modeling Factuality Judgments in Social Media Text
... Detecting and reasoning about the certainty of propositional content has been identified as a key task for information extraction, and is now sup- ported by the FactBank corpus of annotations for newstext (Saur´ı and ... See full document
6
Mathematical modeling and analysis of ground water infiltration in unsaturated porous media by using power series method (psm)
... by using finite difference ...porous media by homotopy analysis ...porous media during infiltration of ground water ...porous media in horizontal ...by using Power Series Method ... See full document
5
Detecting Code Switching between Turkish English Language Pair
... created using the word frequency list of the Turkish National Cor- pus (TNC) Demo Version (Aksan et ...extracted using the Twitter API aiming to ob- tain a representation of the non-canonical user- ... See full document
6
Scalable Learning for Identifying and Ranking Prevalent News Topics using Social Media Factors
... latent social dimensions are extracted based on network topology to capture the potential affiliations of ...extracted social dimensions represent how each actor is involved in diverse ...conditional ... See full document
5
“What Is Your Evidence?” A Study of Controversial Topics on Social Media
... cial media, a relatively under-investigated domain. Some examples of social media platforms that have been subjected to argumentation mining in- clude Amazon online product reviews (Wyner, Schneider, ... See full document
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