Paper: Topical Keyphrase Extraction from Twitter

ACL ID P11-1039
Title Topical Keyphrase Extraction from Twitter
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

Summarizing and analyzing Twitter content is an important and challenging task. In this pa- per, we propose to extract topical keyphrases as one way to summarize Twitter. We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scor- ing function that considers both relevance and interestingness of keyphrases for keyphrase ranking. We evaluate our proposed methods on a large Twitter data set. Experiments show that these methods are very effective for topi- cal keyphrase extraction.