Sentimental analysis is a natural language processing technique that is used extensively in the field of data mining and opinion mining. This involves the estimation of the sentiment of an article. This is a new area in the field of natural language processing and artificial intelligence.The project involves understanding of the sentiment of a news feed and estimating its underlying polarity; positive or negative. Another feature of the project is the bias identifier which estimate the bias of an article relative to a keyword. A search facility has also been provided which can categorize the result of the search according to positive or negative sentiment.
A sentimental analysis used in the project itself is based on the machine learning technique of Support Vector Machines. They are a set of related supervised learning methods used for classification and regression. SVM classifier make the project robust and reliable to a great extent.The project has application in many fields. One of the important field is the field of financial market prediction and news paper bias identification.
You need PHP and Apache Server to run the Program.Please download from below links
WAMP : PHP Apache Bundle for Windows
Apache Web Server Download