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.
assistant

Here are three tools used for sentiment analysis:

1. **NLTK (Natural Language Toolkit)**: A popular Python library for natural language processing tasks, including sentiment analysis.
2. **VaderSentiment**: A sentiment analysis tool developed by Facebook that uses a dictionary of words to determine sentiment.
3. **TextBlob**: A simple and easy-to-use Python library that provides a simple API for sentiment analysis and other NLP tasks.