Product name and associated user sentiment retrieval from tweets
With a growing section of the web dedicated to the reviews, discussions and advertisement of products through micro-blogging, it has become imperative to develop techniques for automated Product name extraction from user generated short texts. In this report, we propose a system for mining Tweets to...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/63473 |