HASHTAG POLITIE
نویسندگان
چکیده
منابع مشابه
Political Hashtag Trends
Political Hashtag Trends (PHT) is an analysis tool for political leftvs.-right polarization of Twitter hashtags. PHT computes a leaning for trending, political hashtags in a given week, giving insights into the polarizing U.S. American issues on Twitter. The leaning of a hashtag is derived in two steps. First, users retweeting a set of “seed users” with a known political leaning, such as Barack...
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In microblogging services, users can generate hashtags to categorize their tweets. However, a majority of microblogs do not contain hashtags, which has intrigued active research on the problem of automatic hashtag recommendation for microblogs. Previous work conducted on this problem mostly does not take the user’s preference into consideration. In this paper, we propose a novel personalized ha...
متن کاملTemporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and search for content, and to spread short messages across members of the social network. In this paper, we study temporal hashtag usage practices in Twitter with the aim of designing a cognitive-inspired hashtag recommendation algorithm we call BLLI,S . Our main idea is to incorporate the effect of time on ...
متن کاملHashtag Processing for Enhanced Clustering of Tweets
Rich data provided by tweets have been analyzed, clustered, and explored in a variety of studies. Typically those studies focus on named entity recognition, entity linking, and entity disambiguation or clustering. Tweets and hashtags are generally analyzed on sentential or word level but not on a compositional level of concatenated words. We propose an approach for a closer analysis of compound...
متن کاملHashtag Recommendation with Topical Attention-Based LSTM
Microblogging services allow users to create hashtags to categorize their posts. In recent years, the task of recommending hashtags for microblogs has been given increasing attention. However, most of existing methods depend on hand-crafted features. Motivated by the successful use of long short-term memory (LSTM) for many natural language processing tasks, in this paper, we adopt LSTM to learn...
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ژورنال
عنوان ژورنال: Bestuurswetenschappen
سال: 2018
ISSN: 0165-7194
DOI: 10.5553/bw/016571942018072003002