PritamGuha31 / Sentiment-Analysis-on-Twitter-data-ahead-of-2020-US-Elections
A sentiment analysis project performed on data collected from Twitter mentioning the two primary contestants in the 2020 US Elections.
☆11Updated 3 years ago
Related projects: ⓘ
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 3 years ago
- ☆10Updated 4 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- ☆13Updated last year
- Text preprocessing tools in python.☆26Updated 6 years ago
- Essential about fastText architecture, cleaning, upsampling and sentiments for tweets.☆28Updated 2 years ago
- A Python package to get useful information from documents using TopicRank Algorithm.☆16Updated last year
- Public Repo of my machine learning project to predict home prices☆11Updated 4 years ago
- Data Analysis and Visualization on Airbnb Data☆11Updated 6 years ago
- Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes☆15Updated 4 years ago
- ☆9Updated 4 years ago
- ☆10Updated 3 years ago
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 2 years ago
- TensorFlow materials☆13Updated 3 years ago
- Digged into negative reviews, conducted NLP techniques such as sentiment analysis, text processing, n-gram modeling and then created a re…☆12Updated 6 years ago
- How to do data science with Optimus, Spark and Python.☆18Updated 5 years ago
- A web app built with Streamlit that summarizes input text