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.

Algorithmically predict public sentiment on a topic using VADER sentiment analysis

A python package for flexible and transparent sentiment analysis.

A Python SDK for Hume AI

Baselines for Multilingual Sentiment Analysis

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

Aspect Based Sentiment Analysis: Transformer & Interpretability (TensorFlow)

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

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

Target Dependent Sentiment Analysis (TDSA) framework.

AFINN sentiment analysis

Sentiment analysis for sentences in spanish

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

A sentiment analysis platform with AI runner and trainer components

Lettria official SDK for python

A python package for sentiment analysis and emotion recognition in italian

An automatic sentiment analysis pakage

Sentiment analysis library for russian language

Sentiment analysis Bot for Taranis AI

sentiment analysis using spacy pipelines

Electra Classifier for Sentiment Analysis

Automated NLP tools. Plug N Play.

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

Traditional Chinese sentiment analysis tool based on BERT.

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

News title sentiment analysis

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。

Dictionary based Sentiment Analysis for Japanese

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

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

short sentiment analysis

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

A simple tool for Vietnamese Sentiment Analysis

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.

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

A framework for multi-agent modeling using large language models

PoC for scraping Yahoo News with sentiment analysis

Python module to get Sentiment Rankings for Unicode Emojis.

Python client sdk to access GPT's AI-powered conversational functionality (without OpenAI API key nor VPN)

Detect emotions in text.

BSI Tool for Sentiment Analysis

Generic python library to perform sentiment analysis on any dataset, using different models

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

The goal is to provide a unified interface to interact with various social analysis tools

The official Python client for Gurunudi AI API