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    Sentiment analysis of products’ reviews containing English and Hindi texts

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    Publication date
    2015
    Author
    Singh, J.P.
    Rana, Nripendra P.
    Alkhowaiter, W.
    Keyword
    POS-tagging
    Project summarisation
    Review analysis
    Sentiment analysis
    Rights
    (c) 2015 Springer. Full-text reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    The 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.
    URI
    http://hdl.handle.net/10454/18105
    Version
    Accepted manuscript
    Citation
    Singh 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.
    Link to publisher’s version
    https://doi.org/10.1007/978-3-319-25013-7_33
    Type
    Conference paper
    Collections
    Management and Law Publications

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