hammou2020 Goto Github PK

sentiment_analysis-2

Twitter Sentiment Analysis - Classifying positive, negative and neutral tweets

sentiment_analysis_scrapping

smba-sentimentanalysis

Sentiment Analysis on Womens E-Commerce clothing

spam-classifier

A simple program using Naive Bayes Algorithm for classification of spam mails

supervised-sentiment_analysis

A sentiment analysis using nltk for women e-commerce dataset

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)

text_classification_tweets

Sentiment Analysis and Text Classification NLP task with Fasttext and Neural Network

textblob-ar

Arabic support for textblob

topic-modeling

topic-modeling-and-sentiment-analysis-of-yelp-restaurant-review-dataset

tripadvisor.fr-scraper

trustpilot-sentiment-analysis

trustpilot_sentiment_analysis

a web scraper + a bit of machine learning

twitter-sentiment-analysis

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

twitter-sentiment-analysis-1

The objective of this task 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. Formally, given a training sample of tweets and labels, where label '1' denotes the tweet is racist/sexist and label '0' denotes the tweet is not racist/sexist, your objective is to predict the labels on the test data set.

twitter-sentiment-analysis-2

Twitter Sentiment Analysis

twitter-sentiment-and-customer-churn-detection

Performed customer sentiment analysis on the tweets related to 4 major streaming services, applied various NLP and text analysis tools, and created multiple ensemble and deep learning classification models to implement churn detection and performed a rule-based feature extraction to find out the reasons for churn. Created a visualization dashboard using Plotly and Dash and deployed on Heroku.

twitter-tweets-topic-modeling

twitter_sentiment

twitter sentiment analysis in 3 algorithm

twitter_sentiment_analysis

This repository details the various approach and algorithms used for modelling Sentiment Analyser.

twitter_sentiment_analysis-using-ml-and-nlp

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.

twittersentimentanalysis

Applied Basic Text Cleaning, TF-IDF, BOW, word2vec etc

unsupervisedsentimentanalysis

Sentiment analysis on unlabeled data scraped from FlipBoard

vader-sentiment-demo

Off-the-shelf sentiment analysis using Vader

yelp-review-prediction-notebook

A Jupyter notebook for contrasting bag of word language representation and word-2-vec for sentiment analysis

youtube-sentiment-analysis-opinion-mining

Opinion mining through Sentiment Analysis on YouTube video comments