Sentiment Analysis English Language using Stanford CoreNLP

This is a Java project for Sentiment Analysis using Stanford CoreNLP.

The Stanford CoreNLP provides statistical NLP, deep learning NLP, and rule-based NLP tools for major computational linguistics problems, which can be incorporated into applications with human language technology needs..

Sentiment Analysis

The underlying technology of this is based on a new type of Recursive Neural Network that builds on top of grammatical structures.

The Java documentation for stanford nlp can be found here.

The live Demo of Stanfod sentiment analysis.

How to build this project

Download the project and import into Intellij
Set the build path which must have the following libraries

stanford-corenlp-3.9.2
ejml-0.23
stanford-corenlp-3.9.2-models

For Maven User

       <dependency>
           <groupId>edu.stanford.nlp</groupId>
           <artifactId>stanford-corenlp</artifactId>
           <version>3.9.2</version>
       </dependency>
       <dependency>
           <groupId>edu.stanford.nlp</groupId>
           <artifactId>stanford-corenlp</artifactId>
           <version>3.9.2</version>
           <classifier>models</classifier>
       </dependency>

       <dependency>
           <groupId>org.slf4j</groupId>
           <artifactId>slf4j-api</artifactId>
           <version>1.7.2</version>
       </dependency>
       <dependency>
           <groupId>org.slf4j</groupId>
           <artifactId>slf4j-log4j12</artifactId>
           <version>1.7.2</version>
       </dependency>
       <!-- https://mvnrepository.com/artifact/com.googlecode.efficient-java-matrix-library/ejml -->
       <dependency>
           <groupId>com.googlecode.efficient-java-matrix-library</groupId>
           <artifactId>ejml</artifactId>
           <version>0.23</version>
       </dependency>

Note: The stanford-corenlp-3.9.2-models has all the trained models. It is not set in the build path of this project due to size constraint. 
Download the jar file from Stanford NLP site

Run the main file

All the dependencies can be downloaded from Stanford NLP site .

Output

This project has the following output

Sentiment Score: 4.0
Sentiment Type: Very positive
Very positive: 80.0%
Positive: 17.0%
Neutral: 2.0%
Negative: 0.0%
Very negative: 0.0%

Jahidul007/Sentiment-Analysis-English-language

Sentiment Analysis English Language using Stanford CoreNLP