https://github.com/ritvik19/text-insights
https://github.com/ritvik19/text-insights
Last synced: about 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/ritvik19/text-insights
- Owner: Ritvik19
- Created: 2019-02-19T17:43:35.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-08-10T15:37:34.000Z (almost 6 years ago)
- Last Synced: 2025-01-23T06:14:49.907Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 62.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Text Insights
Exracting Insights from text
* KeyWords CSV : Extract Keywords from csv data
* KeyWords Text : Extract Keywords from string data
* Knowledge Graph: Live Tweets
* POS Based Keywords: Extract keywords from csv data taking into account their POS
* Review Insights 1: Get Insights about the customer focus areas based on their reviews
* Review Insights 2: Get Insights about the customer focus areas based on their reviews (less complex)
* Spell Checker: Implementation of Peter Norvig's spell checker using Word2Vec
* Text Clustering 1: TFIDF+KMeans+Hierarchical
* Text Clustering 2: Word Clustering (Word2Vec+KMeans+Hierarchical)
* Text Clustering 3: Doc Clusetering (TFIDF weighted avg. Word2Vec +Kmeans + Hierarchical)
* Text Similarities: Various Text Similarity Metrics
* Text Summarizer 1: Text Summarizer based on word counts
* Text Summarizer 2: Text Summarizer based on word counts and invesrse document frequency
* Text Summarizer 3: Text Summarizer based on Text Rank Algorithm
Text Classification Models:
* [Toxic-Comment-Classification](https://github.com/Ritvik19/Toxic-Comment-Classification): A multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate
* [Spam-Filter](https://github.com/Ritvik19/Spam-Filter): Model to classify texts as spam or ham
* [Clickbait-Detection](https://github.com/Ritvik19/Clickbait-Detection): Model that detects text based Clickbaits
* [News-Classifier](https://github.com/Ritvik19/News-Classifier): Various models to classify News Articles
* [Quora-Question-Pairs](https://github.com/Ritvik19/Quora-Question-Pairs): Model that can indentify similar texts
* [StackOverflow-Tag-Predictor](https://github.com/Ritvik19/StackOverflow-Tag-Predictor):A model to suggest the tags based on the content that was there in the question posted on Stackoverflow.