There are 5 repositories under sentimental-analysis topic.
Research project implementation for the ICAIF'21 publication and Master's Thesis. ITS-SentARL => Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
Natural Language Processing
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).
R and Data Files from my YouTube Channel
Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
This script uses Python and Redis with Twitter API to run a fully automated twitter account.
This notebook provides some skills to perform financial analysis on economical data.
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 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
Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.
Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model
Academic project for Advances in Data Science and Architecture course
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 .
Arabic text documents classified using SVM, k-nn and Naive bayes classifers.
Labeled sentences from IMDb movie reviews
Sentiment analysis of all songs that entered the Billboard Hot 100 charts from 1958-2019
Sentiment Analysis and Figurative Language in French Tweets
Best collection of machine learning & deep learning algorithms implemented from scratch using python.
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.
Sentimental Analysis using DeepLearning
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.
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)
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.
API for Mental Health Bot Chatbot
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.
Text Classification for Sentiment Analysis using Female Daily's Reviews Dataset
Sentimental analysis using BERT implemented using pytorch
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.
Chatbot for detecting (depression) mental state of students.
Bangla dataset for Opinion Mining