Python Text Analysis
D-Lab's 12 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, Gensim, and spaCy in Python.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sense2vec | 1,486 |  | 6 | 7 | a year ago | 24 | April 19, 2021 | 20 | mit | Python |
| 🦆 Contextually-keyed word vectors | ||||||||||
| Text Analytics With Python | 1,073 | 3 years ago | 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. | ||||||||||
| Adam_qas | 298 | 4 years ago | 8 | gpl-3.0 | Python | |||||
| ADAM - A Question Answering System. Inspired from IBM Watson | ||||||||||
| Textpipe | 290 | 1 | 3 years ago | 39 | January 25, 2021 | 24 | mit | Python | ||
| Textpipe: clean and extract metadata from text | ||||||||||
| Concise Concepts | 222 | 10 months ago | 35 | January 13, 2023 | 6 | mit | Python | |||
| This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring. | ||||||||||
| Nlpbuddy | 82 | 5 years ago | 5 | agpl-3.0 | HTML | |||||
| A text analysis application for performing common NLP tasks through a web dashboard interface and an API | ||||||||||
| Nlp | 77 | 6 months ago | mit | HTML | ||||||
| Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques, on several modern platforms and libraries. | ||||||||||
| Stock Prediction | 57 | 4 months ago | Jupyter Notebook | |||||||
| Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping. | ||||||||||
| Nlp_workshop_odsc_europe20 | 36 | 4 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models. | ||||||||||
| Youtube Summariser | 19 | 4 months ago | mit | Jupyter Notebook | ||||||
| Summarise YouTube videos and save time! | ||||||||||
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Python
Sentiment Analysis
Scikit Learn
Spacy
Nltk
Word Embeddings
Text Analysis
Gensim