| dotnet/machinelearning |
8,731 |
|
126 |
127 |
over 2 years ago |
41 |
November 27, 2023 |
862 |
mit |
C# |
| ML.NET is an open source and cross-platform machine learning framework for .NET. |
| axa-group/nlp.js |
5,944 |
|
1 |
92 |
over 2 years ago |
40 |
January 12, 2023 |
109 |
mit |
JavaScript |
| An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more |
| bentrevett/pytorch-sentiment-analysis |
4,133 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Tutorials on getting started with PyTorch and TorchText for sentiment analysis. |
| cjhutto/vaderSentiment |
3,779 |
|
143 |
47 |
over 3 years ago |
15 |
May 22, 2020 |
45 |
mit |
Python |
| 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. |
| fastai/course-nlp |
3,271 |
|
0 |
0 |
about 3 years ago |
0 |
|
55 |
|
Jupyter Notebook |
| A Code-First Introduction to NLP course |
| thisandagain/sentiment |
2,208 |
|
980 |
117 |
about 6 years ago |
26 |
August 22, 2019 |
14 |
mit |
JavaScript |
| AFINN-based sentiment analysis for Node.js. |
| JasonKessler/scattertext |
2,131 |
|
8 |
2 |
over 2 years ago |
148 |
April 18, 2023 |
22 |
apache-2.0 |
Python |
| Beautiful visualizations of how language differs among document types. |
| songyouwei/ABSA-PyTorch |
1,782 |
|
0 |
0 |
almost 3 years ago |
0 |
|
91 |
mit |
Python |
| Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。 |
| lukas/ml-class |
1,754 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
gpl-2.0 |
Jupyter Notebook |
| Machine learning lessons and teaching projects designed for engineers |
| dipanjanS/text-analytics-with-python |
1,694 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer. |
