Sentiment Analysis
SenticNet/personality-detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
PythonMITupdated Jan 26, 2020
🏆 #1,766 overall#65 of 194 in Sentiment Analysis
shreyans29 /thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
$ git clone https://github.com/shreyans29/thesemicolon.gitStars
396
396
Forks
429
429
Language
Jupyter Notebook
License
None
Created
Feb 13, 2017
9.6 years old
Last push
Sep 16, 2020
Categories
More in Sentiment Analysis
Sentiment Analysis
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
🧠 Natural Language Processing
Jupyter NotebookApache-2.0updated Jun 30, 2024
Sentiment Analysis
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
PythonMITupdated Feb 27, 2023
Sentiment Analysis
bfelbo/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
🗂️ Text Classification🧠 Natural Language Processing
PythonMITupdated Aug 2, 2024
Sentiment Analysis
towardsai/tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
🧠 Natural Language Processing
Jupyter NotebookOtherupdated May 4, 2024
Sentiment Analysis
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
PythonMITupdated Feb 19, 2024
Data from GitHub · snapshot Sep 24, 2026