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#

count-vectorizer

Here are 119 public repositories matching this topic...

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

  • UpdatedNov 3, 2023
  • Jupyter Notebook

This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.

  • UpdatedOct 29, 2024
  • Jupyter Notebook

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here -https://mb-predictor-motetuzs5q-uc.a.run.app/

  • UpdatedFeb 15, 2023
  • Jupyter Notebook

Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

  • UpdatedJan 12, 2018
  • Jupyter Notebook

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented usi…

  • UpdatedDec 25, 2020
  • Jupyter Notebook

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset:https://arxiv.org/abs/1705.00648.

  • UpdatedJan 24, 2020
  • Jupyter Notebook

Twitter Sentiment Analysis Using InSet (Indonesia Sentiment Lexicon) and Random Forest Classifier

  • UpdatedSep 18, 2023
  • Jupyter Notebook

The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.

  • UpdatedMar 29, 2023
  • Jupyter Notebook

Built a movie recommender system with Streamlit and deploy in Heroku Platform.

  • UpdatedDec 9, 2021
  • Jupyter Notebook

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

  • UpdatedSep 22, 2022
  • Jupyter Notebook

This project involves detecting fake news using a decision tree classifier in Jupyter Notebook. Fake news detection is an important task in the field of natural language processing and machine learning, as it helps identify and filter out misleading or false information.

  • UpdatedJul 8, 2023
  • Jupyter Notebook

Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier

  • UpdatedSep 18, 2023
  • Jupyter Notebook

Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard

  • UpdatedMay 2, 2022
  • Jupyter Notebook

Spam Classifier project for my end-of-semester project for Intro to AI class. We were a group of four people. I worked on all the Naive Bayes models.

  • UpdatedJul 27, 2020
  • Jupyter Notebook

Natural Language Processing Recipes

  • UpdatedApr 3, 2020
  • Jupyter Notebook

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