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Improved Keyword and Keyphrase Extraction from Meeting Transcripts
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 13 |
| Year of Publication: 2012 |
| Authors: J. I. Sheeba, K. Vivekanandan |
10.5120/8260-1800
|
J. I. Sheeba, K. Vivekanandan . Improved Keyword and Keyphrase Extraction from Meeting Transcripts. International Journal of Computer Applications. 52, 13 ( August 2012), 11-15. DOI=10.5120/8260-1800
Abstract
Keywords play a vital role in extracting the correct information as per user requirements. Keywords are like index terms that contain the most important information about the content of the document. Keyword Extraction is the task of identifying a keyword or keyphrase from a document that can help users easily to understand the documents . Meeting transcripts is significantly different from document or other speech domains. This paper aims to extract keywords and keyphrases from meeting transcripts and also to add some additional features for improving the keyword and keyphrase extraction method . Here, this method is performed by both human transcripts and ASR transcripts and the keywords are extracted through MaxEnt and SVM classifier and Extraction of bigram and trigram keywords retrieval using N-gram based approach efficiently and also to identify the low frequency keywords using LDA (Latent Dirichlet Approach). Finally, the quality of the Extracted keywords is improved using pattern features through sequential pattern mining.
References
- Jasmeen Kaur and Vishal Gupta. 2010. Effective Approaches For Extraction Of Keywords. IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 6, November 2010.
- Joaquim Silva and Gabriel Lopes. 2010. Towards Automatic Building of Document Keywords. Coling 2010: Poster Volume, pages 1149–1157,Beijing, August 2010.
- Zhiyuan Liu, Xinxiong Chen and Yabin Zheng . 2011. Automatic Keyphrase Extraction by Bridging Vocabulary Gap . Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 135–144,Portland, Oregon, USA, 23–24 June 2011.
- Su Nam Kim, Timothy Baldwin and Min-Yen Kan. 2010 Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction. Proceedings of the 23rd International Conference on Computational Linguistics , pages 572–580, Beijing, August 2010.
- Feifan Liu, Deana Pennell and Fei Liu. 2009. Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts, ACM.
- Fei Liu, Feifan Liu, Yang Liu. 2008. Automatic Keyword Extraction for the Meeting corpus using Supervised Approach and Bigram Expansion,2008 ACM.
- Fei Liu, Feifan Liu, and Yang Liu . 2011. A Supervised Framework for Keyword Extraction From Meeting Transcripts, IEEE Transactions On Audio, Speech, And Language Processing, VOL. 19, NO. 3, March 2011,pp. 538-548.
- Xuan-Hieu Phan and Cam-Tu Nguyen. 2011. A Hidden Topic-Based Framework toward Building Applications with Short Web Documents, IEEE Transactions On Knowledge AndDataEngineering,VOL23.
- Eibe Frank and Gordon W. Paynter . Domain specific Keyphrase extraction.
- Jiajia Feng. 2011. Keyword Extraction Based on Sequential Pattern Mining, ICIMCS'11August 5-7,china ,ACM.
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