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DC Field | Value | Language |
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dc.contributor.author | Suneja, Prayas | - |
dc.contributor.author | Bhatia, Harvinder Singh | - |
dc.contributor.author | Dwivedi, Gagan | - |
dc.contributor.author | Verma, Ravikant [Guided by] | - |
dc.date.accessioned | 2022-10-20T09:52:14Z | - |
dc.date.available | 2022-10-20T09:52:14Z | - |
dc.date.issued | 2012 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8001 | - |
dc.description.abstract | Documentary information in the world can be broadly classified into two main categories, facts and opinions. Facts are object statements about entities and events in the world. Opinions are subjective statements that reflect people‘s sentiments or observations about the entities and events. . Much of the existing research on text information routing has been (almost exclusively) focused on mining and retrieval of factual information, e.g. information retrieval, web search and many other text mining and natural language processing tasks. Little work has been done on the processing of opinions until only in recent times. Yet, opinions are so significant that whenever one needs to make a decision one wants to hear others‘ opinions. This is not only true for individuals but also true for associations and organisations. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Opinion Mining | en_US |
dc.subject | Sentiment Analysis | en_US |
dc.title | To Implement Opinion Mining and Sentiment Analysis | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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To Implement Opinion Mining and Sentiment Analysis.pdf | 1.26 MB | Adobe PDF | View/Open |
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