Use Sentiment analysis

Sentiment analysis is extremely useful in social media monitoring as it allows us to gain an overview of the wider public opinion behind certain topics.The applications of sentiment analysis are broad and powerful. The ability to extract insights from social data is a practice that is being widely adopted by organisations across the world. Impact of the success of Sentiment Analysis Tools on human society Sentiment analysis applications have spread to many domains in the our life: from consumer products, healthcare and financial services to political elections and social events. A common task in opinion mining is to classify an opinionated document into a positive or negative opinion. In this paper, a study of different methodologies is conducted to rank polarity as to better know how the ironic messages affect sentiment analysis tools

How Text mining tools can be used for Sentiment Analysis

-Develop markting results by understand customer opinions. -understand the emotions across social media

Sentiment analysis is the measurement of positive and negative language. It is a way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral, and to what degree.

sensitivity analysis is a technique used to determine how different values of an independent variable impact a particular dependent variable under a given set of assumptions.

Tools used for Text mining and Sentiment Analysis

IBM SPSS Modler SAS Enterprise Miner Statistical Data Miner ClearForest

briefly evaluate the above statement if there any mistakes or if you have any addition using your own words

I need the answer to be written by computer please. not hand written please