Key phrase extraction from user generated content
[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-Speec...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/59128 |
| _version_ | 1811681955807232000 |
|---|---|
| author | Lee, Angeline Kai Zhen |
| author2 | Sun Aixin |
| author_facet | Sun Aixin Lee, Angeline Kai Zhen |
| author_sort | Lee, Angeline Kai Zhen |
| collection | NTU |
| description | [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/ |
| first_indexed | 2024-10-01T03:49:10Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/59128 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:49:10Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/591282023-03-03T20:39:27Z Key phrase extraction from user generated content Lee, Angeline Kai Zhen Sun Aixin School of Computer Engineering DRNTU::Engineering::Computer science and engineering [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/ Bachelor of Engineering (Computer Science) 2014-04-23T11:58:23Z 2014-04-23T11:58:23Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59128 en Nanyang Technological University 58 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Lee, Angeline Kai Zhen Key phrase extraction from user generated content |
| title | Key phrase extraction from user generated content |
| title_full | Key phrase extraction from user generated content |
| title_fullStr | Key phrase extraction from user generated content |
| title_full_unstemmed | Key phrase extraction from user generated content |
| title_short | Key phrase extraction from user generated content |
| title_sort | key phrase extraction from user generated content |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/59128 |
| work_keys_str_mv | AT leeangelinekaizhen keyphraseextractionfromusergeneratedcontent |