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Venugopalan et al., 2018 - Google Patents

Rating prediction model for reviews using a novel weighted textual feature method

Venugopalan et al., 2018

Document ID
8142975834051940294
Author
Venugopalan M
Nalayini G
Radhakrishnan G
Gupta D
Publication year
Publication venue
Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th ICACNI 2017, Volume 3

External Links

Snippet

Online reviews and their star ratings are an important asset for users in deciding whether to buy a product, watch a movie, or where to plan for a tour. The review text is quite explanatory and expressive where the user shares his experiences in a detailed manner. But the star …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30705Clustering or classification
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    • GPHYSICS
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
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    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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