https://github.com/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.
https://github.com/aburraq/stanfordcorenlp

java lemmatizer named-entity-recognition nlp oop partofspeech-tagger sentence-tokenizer sentiment-analysis stanfordnlp tokenizer

Last synced: about 1 month ago
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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.

• Host: GitHub
• URL: https://github.com/aburraq/stanfordcorenlp
• Owner: Aburraq
• Created: 2024-01-12T14:17:23.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-01-12T14:35:26.000Z (about 1 year ago)
• Last Synced: 2024-11-11T23:11:55.500Z (3 months ago)
• Topics: java, lemmatizer, named-entity-recognition, nlp, oop, partofspeech-tagger, sentence-tokenizer, sentiment-analysis, stanfordnlp, tokenizer
• Language: Java
• Homepage: https://stanfordnlp.github.io/CoreNLP/index.html
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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:

        

            edu.stanford.nlp

            stanford-corenlp

            4.5.5

            models

        

4. Import the `Pipeline` class into your Java application.

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