[PDF] Top 20 A Unified Model for Topics, Events and Users on Twitter

... 8 events in decreasing order of their inner popular- ity η 0 k learned by our complete ...test events, suggesting that with the inferred event-topic affinity vectors we can do better event recommen- ...for ... See full document

... about users’ daily lives, but also a public reporter for real-time ...news. Twitter has shown its powerful ability in information delivery in many events, like the wildfires in San Diego and the ... See full document

... analyze Twitter as a news channel in which the network of followers and followees significantly corre- sponds with the message ...twelve topics analogous to traditional newspaper sections and investigated ... See full document

... local events (Yuan et ...gional topics (Rakesh et al., 2013). Even though platforms such as Twitter allow users to geolocate their posts to reveal their locations either ... See full document

... from Twitter, Instagram, Facebook, and other social networking services have become a major source for social opinion ...services, Twitter [1] allows users to communicate with their network of people ... See full document

... the Twitter social media platform is chal- lenging due to the unstructured nature of the text posted by ...The Twitter posts are introduced with new terms, misspelled words, syntactic er- rors, and ... See full document

... media users interact more with people who live ...a Twitter reciprocal mention network, and geolo- cated users based on the geographical coordinates of their friends, by minimising the weighted dis- ... See full document

... thislikelihood model consists of each the quantity of mentions perpublish and the frequency of users happens in the ...Thenprobability model is used to measure the paradox of futureuser behaviour ... See full document

... Individual activities in the form of log-data were collected and approaches that utilize this objective information were used to predict depression. They extracted textual data captured in various forms such as notes, ... See full document

... coherent topics. Tweets from the users are mostly short and noisy, in ...topic model so obtain better results, previous work tried to incorporate prior knowledge to deal with this ...in ... See full document

... example, Twitter turns the users' interest in the world and their social media with interpersonal interaction has influenced their ...life. Twitter is a microblogging service that was founded in ... See full document

... for Twitter topic discovery can be improved by aggregating tweets into a ...finding topics, into which tweets can be classified, but our purpose requires a different degree of ...ordinary users ... See full document

... of users to start ...these users are scored, they are aggregated with other users from the other phase 1 signals and their scores are summed ...the users who tweeted in the hashtags that our ... See full document

... Sentiment analysis with social relations Previ- ous work on incorporating social relations into sen- timent classification has relied on the label consis- tency assumption, where the existence of social con- nections ... See full document

... Given hashtags’ flexible roles, some may be used in multiple languages without being exam- ples of code switching, such as the contest-based or follower-promotion hashtags noted above. Therefore, we first propose a ... See full document

... a model which has a superior execution contrasted with the individual ...This model is novel on the grounds that it utilizes Hybrid technique (Voting), as well as it applies a meta classifier (Bagging) as ... See full document

... 1221 users in the initial collection, the users were sorted according to each of the eight selected features and each of the top 50 ranking users were studied ... See full document

... versations and discussions expose individual dif- ferences and these differences eventually become embedded into natural language (Goldberg, 1981). However, many nationals are not limited to speak- ing just one language, ... See full document

... the Twitter user, for use in the clustering step to identify ...finding events, but less than 5% of tweets have lo- cation data ...of users in our datasets with an 8 km median ...place users ... See full document

... We can see from the analysis, the results of the political Sudden-Events in Fig. 2. We observe that the peak time for the three hashtags ( ثاحاىلا # “El-Wahat”, وعارشلا _ زٌسو # “Agriculture Minister” and بلحم _ ... See full document