Text Mining and Sentiment Analysis Purpose The purpose of this assignment is to
ID: 3823359 • Letter: T
Question
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
Sentiment Analysis Techniques are used in product reviews.A lot of e commerce websites are crawling the data from social websites but the reviews sources are mainly review sites and after collecting the data they do semantic analysis on it ,this include picking up the keywords and deciding whether the keywords are positive or negative.These reviews are important to the business holders as they can take business decisions according to the analysis results of users’ opinions about their products.SA is not only applied on product reviews but can also be applied on stock markets news articles or political debates. In political debates for example, we could figure out people’s opinions on a certain election candidates or political parties. The election results can also be predicted from political posts
The major impact will be that People will be listened as they can easily put reviews on basically anything either it is any product or any political party.They inside knew that there review is being considered .
Here are some of the leading tools used for Text mining and Sentiment Analysis.
SAS Text Analytics, IBM Text Analytics, Lexalytics Text Analytics, Smartlogic
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