M. Saravanan

Tamil to English Cross Lingual Information Retrieval System for Agricultural Domain Using VSM

M. Saravanan, K. Sathish, 2016 .

RETRACTED ARTICLE: Sentiment topic sarcasm mixture model to distinguish sarcasm prevalent topics based on the sentiment bearing words in the tweets

R. Jebakumar, M. Saravanan, K. Nimala, 2020, Journal of Ambient Intelligence and Humanized Computing.

Sentiment topic sarcasm mixture model to distinguish sarcasm prevalent topics based on the sentiment bearing words in the tweets

K. Nimala, R. Jebakumar, M. Saravanan, 2020, Journal of Ambient Intelligence and Humanized Computing.

Summarization and categorization of text data in high-level data cleaning for information retrieval

M. Saravanan, P. C. Reghu Raj, S. Raman, 2003, Appl. Artif. Intell..

Improving legal information retrieval using an ontological framework

M. Saravanan, Balaraman Ravindran, S. Raman, 2009, Artificial Intelligence and Law.

Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment

M. Saravanan, Balaraman Ravindran, Balaraman Ravindran, 2010, Artificial Intelligence and Law.

Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization

M. Saravanan, Balaraman Ravindran, S. Raman, 2008, IJCNLP.

Improving Legal Document Summarization Using Graphical Models

M. Saravanan, Balaraman Ravindran, S. Raman, 2006, JURIX.

Using Legal Ontology for Query Enhancement in Generating a Document Summary

M. Saravanan, Balaraman Ravindran, S. Raman, 2007, JURIX.