sashanksarathy

sashanksarathy's Stars

• AnubhavJohri/Twitter-US-Airline-Sentiment-Analysis

  This project has taken US Airlines Twitter Dataset (Training 15000 tweets & Testing 3000 tweets). It uses machine learning to classify the sentiments of tweets into positive, neutral and negative. It uses Naive-Bayes Classifier for text-classification and NLTK and SkLearn libraries in python.

  Language:Jupyter Notebook67

• yxccxxx/Twitter-Airline-Sentiment-Analysis

  Data Science/Machine Learning Project

  Language:Jupyter Notebook11

• richardcsuwandi/airline-sentiment

  A data-driven web app that visualizes various sentiment and exploratory analysis on tweets about US airlines.

  Language:Python3

• jadecebeci/Twitter-Sentiment-Analysis-on-Airlines

  Improving Customer Satisfaction: Predicting Sentiment with NLP Techniques on Twitter for US Airlines

  Language:Jupyter Notebook1

• ashutoshmakone/Twitter-US-Airline-Sentiment-classification

  Sentiment classification of an imbalanced data set with text data using sklearn and keras (ML and DL)

  Language:Jupyter Notebook12

• ShrideviReddy/Text-Sentiment-Dashboard-Deployment

  Text Sentiment Dashboard created using Stream-lit and deployed using Heroku.

  Language:Python3

• andikarachman/RNN-Twitter-Sentiment-Analysis

  A recurrent neural network model to analyze how travelers expressed their feelings on Twitter

  Language:Jupyter Notebook107

• yashika51/Twitter-US-Airlines-Sentiment

  Analyze how travelers in February 2015 expressed their feelings on Twitter

  Language:Jupyter Notebook3