Topical Keyphrase Extraction from Twitter
Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achananuparp, Wayne Xin, Jing Zhao, Jiang Jing, He Yang, Song Palakorn Achananuparp, Ee‐Peng Lim, Xiaoming Li · 2011
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. 1