R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
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Updated
Apr 14, 2024 - HTML
R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
Search for tweets and download the data labeled with its polarity in CSV format
Predict bitcoin values using social sentiments (e.g. news and reddit posts)
The 100 days of code challenge ✨
Web application using real-time twitter data to determine the public's current perception of President Donald Trump.
Long-term analysis of emotion, age, and sentiment using Lifeslice and text records.
Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency
[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
Beginner's Introduction to Text Mining: An App Store Reviews Exercise
writing style transfer using cycle gan
Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.
Sentiment analysis system using NLP and machine learning techniques to determine the polarity of the feedback obtained from students in order to improve teaching and learning.
We scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz.
This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt
Web Mining project in which Descriptive Statistics and NLP techniques are used to analyze the behavior of a Twitter account and the content of their respective tweets.
James Skripchuk's code to convert text to midi. I am going to convert this into flask based app. It uses NLTK to read files, then convert to sentences, then words and then turn those words into an awesome pieces of music. Core work is done by James Skripchuk, I just gave the proper interface to his work.
Artificial Intelligence for Trading
Sentiment Analysis WebApp using LSTM, made with ❤️ in PyTorch and deployed on AWS🚀 Do 🌟 the repo and show some love.
A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.
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