Decision support system Discussion board Due Data: December 09, 2017 Marks 1.5 T
ID: 1795107 • Letter: D
Question
Decision support system Discussion board
Due Data: December 09, 2017
Marks 1.5
Text Mining and Sentiment Analysis
Purpose
The purpose of this assignment is to help you learn more about the concepts of Text Mining and Sentiment Analysis.
Brief Introduction
Text Mining
Text mining is the process of extracting information from unstructured data.
Sentiment Analysis
In Sentiment Analysis, the objective is to determine whether a given text is positive, negative or neutral. It is also known as opinion mining since the purpose is to determine the opinion or attitude of a speaker.
Action Items
Give some examples where Sentiment Analysis techniques are being used
What will be the impact of the success of Sentiment Analysis Tools on human society
How Text mining tools can be used for Sentiment Analysis
Mention names of some tools used for Text mining and Sentiment Analysis
Explanation / Answer
1. Sentiment analysis is used in online retail, blogging and politics. Consumer related businesses depend greatly on sentiment analysis. Sentiment analysis can improve business intelligence, customer service, and the management of brand reputation. Also sentiment analyssi sis a great too to help politicians strategize their campains according to the public opinion.
2. Success of Sentiment Analysis can lead to giving a direction tot he bussiness according to the audience for one instance. And overall it would lead to more focussed services according to the people which can improve society greatly.
3. Text mining can be used to extract subjective information for Sentiment Analysis. With the help of text mining publicly available data sources like online reviews and social media discussions can be used to understand and optimize the response of people which is very much uselful for Sentiment Analysis.
4. Rapidminer, StanfordCoreNLP , WEKA, NLTK, GATE, etc
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