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A tool for detailed sentiment analysis in texts, implementing algorithms from the Natural Language Toolkit (NLTK) and spaCy.

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Sentiment Scope

SentimentScope is a tool for detailed sentiment analysis in texts, implementing algorithms from the Natural Language Toolkit (NLTK), spaCy, lexicon-based analysis, and machine learning classifiers.

Overview

Sentiment analysis, also known as opinion mining, is the process of determining the sentiment expressed in a piece of text, whether it is positive, negative, or neutral. SentimentScope provides a comprehensive solution for analyzing sentiment in texts using various techniques and libraries.

Features

  • Sentiment analysis using NLTK (Natural Language Toolkit)
  • Sentiment analysis using spaCy
  • Lexicon-based sentiment analysis
  • Sentiment analysis using machine learning classifiers
  • Text preprocessing utilities
  • Data loading and management
  • Data visualization of sentiment distribution
  • User interaction and interface through a command-line interface (CLI)
  • Model evaluation metrics for performance assessment

About

A tool for detailed sentiment analysis in texts, implementing algorithms from the Natural Language Toolkit (NLTK) and spaCy.

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