PyPI Stats
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About
Home

Search Packages

Find Python packages by name, description, GitHub topic, or filter by metrics
fhamborg
newssentiment

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

2K 156 20
oliverguhr
germansentiment

An easy to use python package for deep learning-based german sentiment classification.

2K 57 5
MilaNLProc
feel-it

Sentiment analysis and emotion classification for Italian using BERT (fine-tuning). Published at the WASSA workshop (EACL2021).

2K 27 5
RezaGooner
persent

Python library for analyzing Persian texts. With the ability to analyze customer opinions and their offer status, analyzing the seven emotions in Persian sentences at the moment.

1K 7 1
ruanchaves
hashformers

Accurate word segmentation for hashtags and text, powered by Transformers and Beam Search. A scalable alternative to heuristic splitters and massive LLMs.

467 77 6
baidu
senta

Baidu's open-source Sentiment Analysis System.

436 2K 367
ankit-aglawe
sentimentpredictor

A flexible sentiment analysis classifier package supporting multiple pre-trained models, customizable preprocessing, visualization tools, fine-tuning capabilities, and seamless integration with pandas DataFrames.

207 3 1
Ramseyxlil
text-sentiment-ai-sdk

This API provides a powerful tool for analyzing the sentiment of text data. It helps you understand the overall sentiment (positive, negative, or neutral) and detailed sentiment breakdowns (joy, sadness, anger, etc.) within your text.

195 2 0
shibing624
pysenti

Chinese Sentiment Classification Tool. 情感极性分类,基于知网、清华、BosonNLP情感词典,易扩展,基准方法,开箱即用。

152 104 11
draperunner
fjlc

A Python port of the Fredriksen–Jahren Lexicon Classifier

104 3 0
mr-ravin
cerebral-lstm

This repository includes the Pytorch implementation of Cerebral LSTM as a PIP Package.

73 0 0
    • Data from PyPI, GitHub, ClickHouse, and BigQuery