Microblog content poses serious challenges to the applicability of traditional sentiment analysis and classification methods, due to its inherent characteristics. To tackle them, we introduce a method that relies on two orthogonal, but complementary sources of evidence: content-based features captur
[ACM Press the 23rd ACM conference - Milwaukee, Wisconsin, USA (2012.06.25-2012.06.28)] Proceedings of the 23rd ACM conference on Hypertext and social media - HT '12 - Content vs. context for sentiment analysis
โ Scribed by Aisopos, Fotis; Papadakis, George; Tserpes, Konstantinos; Varvarigou, Theodora
- Book ID
- 120612045
- Publisher
- ACM Press
- Year
- 2012
- Tongue
- English
- Weight
- 715 KB
- Category
- Article
- ISBN
- 1450313353
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
It is becoming increasingly important to facilitate the integrated management of user information. Exchanging user information across heterogeneous systems has many benefits, particularly in enhancing the quality and quantity of user information available for personalization. One common approach to
We deal with shrinking the stream of tweets for scheduled events in real-time, following two steps: (i) sub-event detection, which determines if something new has occurred, and (ii) tweet selection, which picks a tweet to describe each sub-event. By comparing summaries in three languages to live rep