{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T16:41:30Z","timestamp":1765039290540,"version":"3.28.0"},"reference-count":9,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,8]]},"DOI":"10.1109\/icacci.2015.7275974","type":"proceedings-article","created":{"date-parts":[[2015,9,28]],"date-time":"2015-09-28T17:27:30Z","timestamp":1443461250000},"page":"2381-2384","source":"Crossref","is-referenced-by-count":22,"title":["Sentiment Analysis of Malayalam film review using machine learning techniques"],"prefix":"10.1109","author":[{"given":"Deepu S.","family":"Nair","sequence":"first","affiliation":[]},{"given":"Jisha P.","family":"Jayan","sequence":"additional","affiliation":[]},{"family":"Rajeev R.R","sequence":"additional","affiliation":[]},{"given":"Elizabeth","family":"Sherly","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","article-title":"Interpreting sentiwordnet for opinion classi-fication","author":"saggion","year":"2010","journal-title":"LREC"},{"key":"ref3","article-title":"A Non-syntactic Approach for Text Sentiment Classification with Stopwords","author":"suresh","year":"0","journal-title":"Indian nstitute of Science Bangalore"},{"key":"ref6","first-page":"3644","article-title":"Robust sentiment detection on twitter from biased and noisy data","author":"barbosa","year":"2010","journal-title":"Proceedings of the 23rd International Conference on Computational Linguistics Posters"},{"key":"ref5","first-page":"18261831","article-title":"Semi-supervised learning for imbalanced sentiment classification","volume":"22","author":"li","year":"2011","journal-title":"Proceedings of International Joint Conference on Artificial Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICACC.2012.16"},{"key":"ref7","first-page":"7984","article-title":"Probabilistic model-based sentiment analysis of twitter messages, in Spoken Language Technology Workshop (SLT)","author":"celikyilmaz","year":"2010","journal-title":"IEEE"},{"key":"ref2","article-title":"Machine Learning-based Sentiment Analysis of Automatic Indonesian Translations of English Movie Reviews","author":"franky","year":"2008","journal-title":"Proceedings of the International Conference on Advanced Computational Intelligence and Its Applications 2008 (ICACIA 2008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2014.6968548"},{"key":"ref1","article-title":"Sentiment analysis: A new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified","author":"agarwal","year":"2005","journal-title":"Proceedings of the International Conference on Natural Language Processing (ICON)"}],"event":{"name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","start":{"date-parts":[[2015,8,10]]},"location":"Kochi, India","end":{"date-parts":[[2015,8,13]]}},"container-title":["2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7259950\/7275573\/07275974.pdf?arnumber=7275974","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T17:45:09Z","timestamp":1490377509000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7275974\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/icacci.2015.7275974","relation":{},"subject":[],"published":{"date-parts":[[2015,8]]}}}