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https://hdl.handle.net/10356/59128
Title: | Key phrase extraction from user generated content | Authors: | Lee, Angeline Kai Zhen | Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2014 | Abstract: | [1] The Stanford Natural Language Processing Group. Retrieved from http://nlp.stanford.edu/ [2] L. Ratinov and D. Roth, Design Challenges and Misconceptions in Named Entity Recognition. CoNLL (2009) [3] OpenNLP. Retrieved from http://opennlp.apache.org/ [4] Stanford Log-linear Part-Of-Speech Tagger. Retrieved from http://nlp.stanford.edu/software/tagger.shtml [5] A. Turpin and W. Hersh. (2004). Do Clarity Scores for Queries Correlate with User Performance? [6] Steve Cronen-Townsend and W. Bruce Croft. (2002). Quantify Query Ambiguity [7] Kullback–Leibler divergence. Retrieved from http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence [8] Apache Lucene Core. Retrieved from http://lucene.apache.org/core/ | URI: | http://hdl.handle.net/10356/59128 | Schools: | School of Computer Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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Final Report - Amended.pdf Restricted Access | FYP Report on key phrase extraction | 1.75 MB | Adobe PDF | View/Open |
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