| Name | Version | Summary | date |
| arekit |
0.25.1 |
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and prompting mass-media news into datasets for ML-model training |
2024-12-07 11:52:01 |
| eKoNLPy |
2.0.6 |
A Korean natural language processing toolkit for economic analysis |
2024-11-02 00:02:54 |
| social-tools |
1.0.0 |
The goal is to provide a unified interface to interact with various social analysis tools |
2024-10-13 02:46:02 |
| ChordReviewsVis |
0.3.3 |
Process reviews data, apply text preprocessing, and generate a chord plot visualization showing word co-occurrence patterns and sentiment analysis. |
2024-07-14 19:18:02 |
| textpredict |
0.1.3 |
TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more. |
2024-07-10 16:32:04 |
| SocialDictionary |
1.3 |
This package is used to analyse sentiment, and emojis are also included in this sentiment analysis. The package uses a pre-trained model to assign an emotion to the emojis |
2024-07-05 22:34:56 |
| mood |
0.0.4 |
None |
2024-06-23 06:19:50 |
| cat-aspect-extraction |
1.0.1 |
Aspect extraction based on word embeddings |
2024-05-21 12:56:57 |
| chord-reviews |
0.2.2 |
Process reviews data, apply text preprocessing, and generate a chord plot visualization showing word co-occurrence patterns and sentiment analysis. |
2024-05-04 14:29:04 |
| gsadz |
0.1.0 |
NAME |
2024-04-12 14:24:05 |
| sentibank |
0.2.3 |
Unifying sentiment lexicons and dictionaries into an accessible open python package |
2024-03-27 22:44:01 |