Aburraq/StanfordCoreNLP

My legal background gave me a deep appreciation for language's importance. It's not just words; it's a profound understanding woven into every case. This connection led me to coding, where I coded a potent pipeline system with Stanford CoreNLP.

Stanford NLP Pipeline

This Java class, Pipeline, provides a configuration setup for the Stanford CoreNLP library to facilitate Natural Language Processing (NLP) tasks. It initializes a pipeline with specific annotators to perform various NLP operations on textual data.

About

The Pipeline class is designed to create an instance of Stanford CoreNLP with the following annotators:

• Tokenization
• Sentence splitting
• Part-of-Speech tagging (POS)
• Lemmatization
• Named Entity Recognition (NER)
• Parsing
• Sentiment analysis

Usage

To utilize this pipeline:

1. Ensure you have the Stanford CoreNLP library configured in your project.

2. Add Stanford CoreNLP as a dependency. You can do this by including the following Maven dependency in your project's pom.xml file:

    <dependency>
        <groupId>edu.stanford.nlp</groupId>
        <artifactId>stanford-corenlp</artifactId>
        <version>4.5.5</version>
        <classifier>models</classifier>
    </dependency>
   

3. Import the Pipeline class into your Java application.

4. Access the pipeline instance using the getPipeline() method to perform NLP tasks.