sentimental-analysis
There are 6 repositories under sentimental-analysis topic.
- Language:Python 171
xicocaio / its-sentarl
Research project implementation for the ICAIF'21 publication and Master's Thesis. ITS-SentARL => Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
Language:Python 39SEntiMoji / SEntiMoji
data, code, pre-trained models and experiment results for "SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering"
Language:Python 31joydeb28 / NLP-Notebooks
Natural Language Processing
Language:Jupyter Notebook 27VaibhavAbhimanyooHiwase / Sentimental_Analysis_using_Opinion_Target_and_Opinion_Words
This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).
Language:Python 26bkrai / R-files-from-YouTube
R and Data Files from my YouTube Channel
pranitbose / sentiment-analysis
Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
Language:Python 23austinbspencer / twitter-bot
This script uses Python and Redis with Twitter API to run a fully automated twitter account.
Language:Python 19pouyaardehkhani / FinancialAnalysis
This notebook provides some skills to perform financial analysis on economical data.
Language:Jupyter Notebook 18avs-abhishek123 / Twitter-Sentimental-Analysis
An AI project where we do web scrapping from Twitter API, find the sentimental analysis using bag-of-word model, & store it in a csv file.
- Datscan
DevelopedByAnurag / Datscan
DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
Language:Python 14 - Language:Jupyter Notebook 14
cosmoduende / r-whatsapp-analysis-parte2
Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.
Language:R 13loretoparisi / bert-movie-reviews-sentiment-classifier
Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model
Language:Jupyter Notebook 13agrawal-priyank / Web-Scraper-Sentiment-Analysis-TripAdvisor
Academic project for Advances in Data Science and Architecture course
Language:R 11ashadnasim52 / sentiment-analysis
This project is for sentiment analysis of post/blog submitted by user and then analysising the post and giving it rating . If all goes right then the post/blog submitted by the user will store in mongoDB database otherwise it will show the user to remove abussive words and then resubmit it .
Language:EJS 11FantacherJOY / Arabic-text-classification
Arabic text documents classified using SVM, k-nn and Naive bayes classifers.
Language:Python 11nproellochs / NegationDataset
Labeled sentences from IMDb movie reviews
salimzubair / lyric-sentiment
Sentiment analysis of all songs that entered the Billboard Hot 100 charts from 1958-2019
Language:Jupyter Notebook 10- Language:Python 10
vinayakumarr / DEFT-2017
Sentiment Analysis and Figurative Language in French Tweets
Language:Python 10naman14310 / Machine_Learning
Best collection of machine learning & deep learning algorithms implemented from scratch using python.
Language:Jupyter Notebook 9priyansh19 / Suggestion_Mining_Using_Twitter_Data
Sentiment Analysis is the automated process of analyzing text data and sorting it into sentiments positive, negative or neutral. With more than 321 million active users, sending a daily average of 500 million Tweets, Twitter allows businesses to reach a broad audience and connect with customers without intermediaries.
Language:Python 9saitejdandge / Sentimental_Analysis_LSTM_Conv1D
Sentimental Analysis using DeepLearning
Language:Python 9- Language:R 8
kroudir / Twitter-Sentiment-Analysis-with-python
The objective of this project is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.
Language:Jupyter Notebook 8omrawal / Chatbot-API
API for Mental Health Bot Chatbot
Language:Python 8advaitsave / Text-preprocessing-and-classification
IMDB Movie Reviews - Text preprocessing and classification. Includes BOW model, TF_IDF, VADER entiment analysis, Topic Modelling using Latent Dirichlet Allocation and Word Embeddings. (Python)
Language:Jupyter Notebook 7mtala3t / Identify-the-Sentiments-AV-NLP-Contest
This project is submitted as python implementation in the contest of Analytics Vidhya called "Identify the Sentiments". I enjoyed the joining of this competition and all its process. This submited solution got the rank 118 in the public leaderboard.
Language:Python 7Chatbot for detecting (depression) mental state of students.
Language:CSS 7anushka23g / Twitter-sentiment-Analysis
In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.
Language:Jupyter Notebook 6chlaudiah / Sentiment-Classification-FD-Reviews
Text Classification for Sentiment Analysis using Female Daily's Reviews Dataset
Language:Jupyter Notebook 6cipheraxat / Sentimental-analysis-using-BERT
Sentimental analysis using BERT implemented using pytorch
Language:Jupyter Notebook 6HxnDev / Hadoop-MapReduce-to-Analyze-Sentiment-of-Keyword
In this task, we had to write a MapReduce program to analyze the sentiment of a keyword from a list of comments. This was done using Hadoop HDFS.
Language:Java 6Shayokh144 / Bangla_Dataset_for_Opinion_Mining
Bangla dataset for Opinion Mining
- Language:Jupyter Notebook 5
