Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Kaushik, Saroj"'
Many online comments on social media platforms are hateful, humorous, or sarcastic. The sarcastic nature of these comments (especially the short ones) alters their actual implied sentiments, which leads to misinterpretations by the existing sentiment
Externí odkaz:
http://arxiv.org/abs/2011.11465
Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research popularity. In the literature, topics are often treated as one of (a) hashtags
Externí odkaz:
http://arxiv.org/abs/1801.06161
The topical stance detection problem addresses detecting the stance of the text content with respect to a given topic: whether the sentiment of the given text content is in FAVOR of (positive), is AGAINST (negative), or is NONE (neutral) towards the
Externí odkaz:
http://arxiv.org/abs/1801.03032
The hashtag recommendation problem addresses recommending (suggesting) one or more hashtags to explicitly tag a post made on a given social network platform, based upon the content and context of the post. In this work, we propose a novel methodology
Externí odkaz:
http://arxiv.org/abs/1712.01562
Researchers have attempted to model information diffusion and topic trends and lifecycle on online social networks. They have investigated the role of content, social connections and communities, familiarity and behavioral similarity in this context.
Externí odkaz:
http://arxiv.org/abs/1706.00921
Assessment of Effectiveness of Content Models for Approximating Twitter Social Connection Structures
This paper explores the social quality (goodness) of community structures formed across Twitter users, where social links within the structures are estimated based upon semantic properties of user-generated content (corpus). We examined the overlap o
Externí odkaz:
http://arxiv.org/abs/1605.09338
Autor:
Tiwari Shivendra, Kaushik Saroj
Publikováno v:
Open Computer Science, Vol 6, Iss 1, Pp 8-24 (2016)
Identifying the interesting places through GPS trajectory mining has been well studied based on the visitor’s frequency. However, the places popularity estimation based on the trajectory analysis has not been explored yet. The limitation in the maj
Externí odkaz:
https://doaj.org/article/7e5c2a3164044c09a7751683cdcf0beb
Publikováno v:
In Expert Systems With Applications 2010 37(8):5607-5613
Autor:
Jagwani, Priti, Kaushik, Saroj
Publikováno v:
International Journal of Information Security & Privacy; Jul-Sep2021, Vol. 15 Issue 3, p1-14, 14p