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dc.contributor.authorSingh, J.P.
dc.contributor.authorRana, Nripendra P.
dc.contributor.authorAlkhowaiter, W.
dc.date.accessioned2020-09-26T09:40:50Z
dc.date.accessioned2020-10-09T14:49:14Z
dc.date.available2020-09-26T09:40:50Z
dc.date.available2020-10-09T14:49:14Z
dc.date.issued2015
dc.identifier.citationSingh JP, Rana NP, Alkhowaiter W (2015) Sentiment analysis of products’ reviews containing English and Hindi texts. In: Janssen M, Mäntymäki M, Hidders J et al (Eds) Open and Big Data Management and Innovation. I3E 2015. Lecture Notes in Computer Science, vol 9373. Cham: Springer. 416-422.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18105
dc.descriptionYesen_US
dc.description.abstractThe online shopping is increasing rapidly because of its convenience to buy from home and comparing products from their reviews written by other purchasers. When people buy a product, they express their emotions about that product in the form of review. In Indian context, it is found that the reviews contain Hindi text along with English. It is also found that most of the Hindi text contains opinionated words like bahut achha, bakbas, pesa wasool etc. We have tried to find out different Hindi texts appearing in product reviews written on Indian E-commerce portals. We have also developed a system which takes all those reviews containing Hindi as well as English texts and find out the sentiment expressed in that review for each attribute of the product as well as a final review of the product.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1007/978-3-319-25013-7_33en_US
dc.rights(c) 2015 Springer. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectPOS-taggingen_US
dc.subjectProject summarisationen_US
dc.subjectReview analysisen_US
dc.subjectSentiment analysisen_US
dc.titleSentiment analysis of products’ reviews containing English and Hindi textsen_US
dc.status.refereedYesen_US
dc.date.application2015-11-26
dc.typeConference paperen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2020-09-26T08:40:52Z
refterms.dateFOA2020-10-09T14:50:05Z


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