Sentiment Analysis

Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.

A TextBlob sentiment analysis pipeline component for spaCy.

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

A Python SDK for Hume AI

Algorithmically predict public sentiment on a topic using VADER sentiment analysis

A sentiment analysis platform with AI runner and trainer components

A python package for flexible and transparent sentiment analysis.

Aspect Based Sentiment Analysis: Transformer & Interpretability (TensorFlow)

Analyze Reddit comments for PII and perform sentiment analysis

Baselines for Multilingual Sentiment Analysis

Lettria official SDK for python

Investigations in financial sentiment analysis

AFINN sentiment analysis

Chinese text analysis library, which can perform word frequency statistics, dictionary expansion, sentiment analysis, similarity, readability, co-occurrence analysis, social computing (attitude, prejudice, culture) on texts

Target Dependent Sentiment Analysis (TDSA) framework.

Data science gear: Python API for advanced machine learning algorithms built on top of sklearn, tensorflow and keras

sentiment analysis using spacy pipelines

Unraveling Corporate and CEO Reputation using Aspect-Based Sentiment Analysis and Signal Modeling

Sentiment analysis for sentences in spanish

An automatic sentiment analysis pakage

Sentiment analysis library for russian language

Automated NLP tools. Plug N Play.

A python package for sentiment analysis and emotion recognition in italian

Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and prompting mass-media news into datasets for ML-model training

中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

Sentiment Analysis in Python using a Dictionary Approach

BSI Tool for Sentiment Analysis

Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.

Python package which to access the Twitter database without API

Classification of Job Offer Responses

gsitk is a library on top of scikit-learn that eases the development process on NLP machine learning driven projects.

Process reviews data, apply text preprocessing, and generate a chord plot visualization showing word co-occurrence patterns and sentiment analysis.

A sentiment analysis server implementation. Designed to be extensible, so new algorithms and sources can be used.

LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.

Dictionary based Sentiment Analysis for Japanese

short sentiment analysis

A simple wrapper for the Alternative.me Crypto Fear and Greed Index API

Real-time sentiment analysis for twitter.

A framework for multi-agent modeling using large language models

Aspect extraction based on word embeddings

Pashto Natural Language Processing Toolkit

awessome

Tools for collecting , processing and analyzing twitter data

PoC for scraping Yahoo News with sentiment analysis

An off-the-rack NLP sentiment classifier- upload your own corpus or use the pre-installed ones

Just A Simple Sentiment Analysis Tool for Chinese Text

ToneTint is a Python package that provides an intuitive way to perform sentiment analysis on text data and visualize the results. It splits the input text into manageable chunks, analyzes each chunk using a pre-trained sentiment analysis model, and highlights the text with background colors corresponding to the sentiment. Additionally, it displays tooltips with detailed sentiment scores when hovering over each text chunk.

use sentiment analysis to create a playlist that matches someone's mood and also predict songs to rise in popularity.