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Sentiment Intensity Analysis of Informal Texts
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 147 - Number 10 |
| Year of Publication: 2016 |
| Authors: Imranul Kabir Chowdhury, Subhenur Latif, Md. Saddam Hossain |
10.5120/ijca2016911195
|
Imranul Kabir Chowdhury, Subhenur Latif, Md. Saddam Hossain . Sentiment Intensity Analysis of Informal Texts. International Journal of Computer Applications. 147, 10 ( Aug 2016), 24-31. DOI=10.5120/ijca2016911195
Abstract
This paper presents a method for an automatic collection of a corpus that can be used to train a sentiment classifier which determines whether an expression is neutral or polar. Depending on the words from the comments of online social networking platform, the human sentiment can be easily extracted, if we can make a machine to understand this extraction by defining some determined hypothesis. The automatic identification leads to enormous application domains for this machine readable sentiment concept. Microblogging web-sites are used here as rich sources of data for opinion mining and sentiment analysis which is tested on well-known training data sets. The results are significantly better than baseline that may suggest people regarding their specific interests based on their respective sentiment studies which can be extended to further business analysis to advice consumer about the negative impact of any issue subjected.
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