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Challenges of Text Analytics in Opinion Mining
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Author(s): Vaishali Kalra (Manav Rachna International Institute of Research and Studies, India)and Rashmi Agrawal (Manav Rachna International Institute of Research and Studies, India)
Copyright: 2019
Pages: 15
Source title:
Extracting Knowledge From Opinion Mining
Source Author(s)/Editor(s): Rashmi Agrawal (Manav Rachna International Institute of Research and Studies, India)and Neha Gupta (Manav Rachna International Institute of Research and Studies, India)
DOI: 10.4018/978-1-5225-6117-0.ch012
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Abstract
Text analysis is the task of knowledge distillation from unstructured text. Due to increase in sharing of information over the web in text format, users required tools and techniques for the analysis of the text. These techniques can be used in two ways: One, this can be used for clustering, classification, and visualization of the data. Two, this can be used for predicting the future aspects, for example, in share market. But all these tasks are not easy to perform, as there are lots of challenges in converting the text into the format onto which various actions can be taken. In this chapter, the authors have discussed the framework of text analysis, followed by the background where they have discussed the steps for transforming the text into the structured form. They have shed light on its industry application along with the technological and non-technological challenges in text analysis.
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