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 python package for flexible and transparent sentiment analysis.

Baselines for Multilingual Sentiment Analysis

Aspect Based Sentiment Analysis: Transformer & Interpretability (TensorFlow)

A sentiment analysis platform with AI runner and trainer components

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

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

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

Lettria official SDK for python

Target Dependent Sentiment Analysis (TDSA) framework.

Sentiment analysis for sentences in spanish

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

An automatic sentiment analysis pakage

Automated NLP tools. Plug N Play.

AFINN sentiment analysis

A python package for sentiment analysis and emotion recognition in italian

sentiment analysis using spacy pipelines

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。

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

Traditional Chinese sentiment analysis tool based on BERT.

Sentiment analysis library for russian language

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results.

News title sentiment analysis

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.

Unifying sentiment lexicons and dictionaries into an accessible open python package

PoC for scraping Yahoo News with sentiment analysis

Dictionary based Sentiment Analysis for Japanese

Naive-Bayes based sentiment analysis library for the Indonesian Language.

Tools for collecting , processing and analyzing twitter data

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.

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

A framework for multi-agent modeling using large language models

A comprehensive WhatsApp chat analysis library

This package does Aspect Level Sentiment Analysis (ALSA) on user comments about a given product

A simple tool for Vietnamese Sentiment Analysis

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.

Python package which to access the Twitter database without API

short sentiment analysis

Classification of Job Offer Responses

Interpretable data visualizations for understanding how texts differ at the word level

Emotion("fear", "anger", "surprise", "sadness", "disgust", "joy") and Sentiment("Positive","Negative") Analysis

The official Python client for Gurunudi AI API

Detect emotions in text.

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