Three tools used for sentiment analysis are Lexalytics, OpinionFinder, and Google Cloud Natural Language. Lexalytics uses statistical language models and machine learning algorithms to identify sentiment in large-scale text data. OpinionFinder is a text mining tool designed to detect sentiment in web-based text data. Google Cloud Natural Language is a cloud-based platform that uses natural language processing and machine learning to analyze sentiment in text.
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
Name three tools used for sentiment analysis

### Response:
Three tools used for sentiment analysis are Lexalytics, OpinionFinder, and Google Cloud Natural Language. Lexalytics uses statistical language models and machine learning algorithms to identify sentiment in large-scale text data. OpinionFinder is a text mining tool designed to detect sentiment in web-based text data. Google Cloud Natural Language is a cloud-based platform that uses natural language processing and machine learning to analyze sentiment in text.
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Here are three tools used for sentiment analysis:

1. **VADER (Valence Aware Dictionary and sEntiment Reasoner)**: VADER is a popular sentiment analysis tool developed by Facebook. It is a rule-based system that assigns a sentiment score to a piece of text based on the words and phrases used.

2. **NLTK (Natural Language Toolkit)**: NLTK is a comprehensive natural language processing (NLP) library that includes tools for sentiment analysis. It provides pre-trained models for sentiment analysis, such as the VADER tool, and also allows users to train their own models.

3. **Stanford CoreNLP**: Stanford CoreNLP is a Java library for NLP that includes a sentiment analysis tool. It uses machine learning algorithms to analyze the sentiment of text and provides a wide range of features, including part-of-speech tagging, named entity recognition, and sentiment analysis.

These are just a few examples of the many tools available for sentiment analysis. The choice of tool often depends on the specific use case and the level of customization required.