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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sharma, Shashank Srinivas, PYKL Balabantaray, Rakesh Chandra |
| Copyright Year | 2015 |
| Description | Author affiliation: IIIT Bhubaneswar, Odisha, India (Sharma, Shashank; Srinivas, PYKL; Balabantaray, Rakesh Chandra) |
| Abstract | Due to the advent of social media and networking sites, people now have the opportunity to communicate with each other more easily and frequently than ever before. The analysis of the content of these communications can lead to numerous benefits to the governments and corporations across various industries. These will allow them in gauging the public sentiment on a multitude of items and issues, on which they can take necessary actions. However, to do so, one needs to decipher the content which is usually in the form of a complicated mix of multiple languages. In Indian social media, users often combine Romanized English with their mother tongue language for communications. In this paper, we have presented a number of techniques to identify the sentiment of text after normalizing the influence of multiple languages. |
| Starting Page | 530 |
| Ending Page | 534 |
| File Size | 631021 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467373098 |
| DOI | 10.1109/CoCoNet.2015.7411238 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-16 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sentiment analysis Dictionaries Tongue Code mixed Devanagari Switches Media Polarity Romanized script Standards Sentiment Pragmatics |
| Content Type | Text |
| Resource Type | Article |
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