Topical Keyphrase Extraction from Twitter

Topical Keyphrase Extraction from Twitter

Summarizing and analyzing Twitter content is an important and challenging task. In this paper, 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 scoring function that considers both...

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Bibliographic Details
Main Authors: ZHAO, Xin, JIANG, Jing, HE, Jing, SONG, Yang, ACHANANUPARP, Palakorn, LIM, Ee Peng, LI, Xiaoming
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
Databases and Information Systems
Numerical Analysis and Scientific Computing
Social Media
Online Access:https://ink.library.smu.edu.sg/sis_research/1363
https://ink.library.smu.edu.sg/context/sis_research/article/2362/viewcontent/ACL_11.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Summarizing and analyzing Twitter content is an important and challenging task. In this paper, 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 scoring 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 topical keyphrase extraction.

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