Pinned Repositories
Airline-Twitter-Sentiment-Analysis
This multi-class sentiment analysis was carried out using three classification algorithms: Multinomial Naïve Bayes, Support Vector Matrix(SVM), and Random Forest. I also used logistic regression and VADER algorithms.
Amazon-Classifier
Amazon web scraping, sentiment analysis with NLP, and ML algorithms.
Amazon-Fine-Food-Reviews
Sentiment Analysis of Food Reviews
Amazon-Review-Data-Analysis
Sentiment Analysis and Recommender System based on Amazon Reviews
AmazonFoodReview
Sentiment Analysis on Amazon Food Reviews
Arabic-Hotel-Reviews-Sentimental-Analysis
Aspect-Based-Sentiment-Analysis
Chronic-Kidney-ChatBot
Python + Machine Learning Bots
NLP-Spam-Ham-Classifier
A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)
Review-on-Sentiment-Analysis-Models
The purpose of this review is to provide a broad but moderately deep understanding of different types of sentiment analysis models and their respective pros and cons.
hammou2020's Repositories
hammou2020/NLP-Spam-Ham-Classifier
A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)
hammou2020/Airline-Twitter-Sentiment-Analysis
This multi-class sentiment analysis was carried out using three classification algorithms: Multinomial Naïve Bayes, Support Vector Matrix(SVM), and Random Forest. I also used logistic regression and VADER algorithms.
hammou2020/Amazon-Review-Data-Analysis
Sentiment Analysis and Recommender System based on Amazon Reviews
hammou2020/COVID-19-Arabic-Tweets-Dataset
The repository contains a collection of Arabic tweets IDs associated with the novel coronavirus COVID-19. The dataset contains Tweets' ids from 2020-01-01 to 2020-04-15. The Twitter search API was used to gather real-time tweets that contained specific keywords in the Arabic language. The dataset contains almost eight millions and half Arabic tweets.
hammou2020/COVID19-Urban-Sentiment-Analysis
Arabic and English data analysis on the first weeks of COVID-19 quarantine with sentiment analysis and analyzing social media activity with respect to urban features of the governorates in Egypt.
hammou2020/CovidBot-Telegram
a conversational agent in Arabic Darija called CovidBot which aims to inform Moroccans about the evolution of the CoronaVirus pandemic in the kingdom, and also to help them better understand this virus, how to protect themselves from it and how to fight it.
hammou2020/dsc-using-word2vec-nyc-ds-033020
hammou2020/FAKE-NEWS-DETECTION
A MACHINE LEARNING project that predicts whether a news is real or fake.
hammou2020/fake-review-detection-1
fake review detection
hammou2020/Hotel-Review
Sentiment Analysis of Hotel Reviews using Natural Language Processing and Machine Learning
hammou2020/Jupyter-Sentiment-Analysis-Video-games-reviews
Reviews of video-games.
hammou2020/Machine-Learning-Project
Fake Review dectection using Yelp Restaurant Data
hammou2020/MiAI_NLP_02
Demo of using Word2Vec, FastText to classify document
hammou2020/Natural-Language-Processing
Implementation of multiple NLP approaches, in order to identify fake product reviews at one of the leader Virtual Merchants of the world.
hammou2020/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
hammou2020/NLP-Spam-classification-NLTK
hammou2020/NLP-spam-filter
This model will detect if a message is spam or good "ham"
hammou2020/project006
Natural language processing and web scraping
hammou2020/Relative_Insight_Twitter_spam
hammou2020/sentiment-analysis-5
hammou2020/Sentiment-VADER-NLTK
Sentiment analysis on COVID19 tweets.
hammou2020/sentiment_analysis_scrapping
hammou2020/Sentimental-Analysis
Sentimental Analysis of students reviews about teachers, how they deal with in class room with students.
hammou2020/spam-classifier
A simple program using Naive Bayes Algorithm for classification of spam mails
hammou2020/Text_Classification_Tweets
Sentiment Analysis and Text Classification NLP task with Fasttext and Neural Network
hammou2020/Topic-Modeling
hammou2020/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.
hammou2020/Twitter-Tweets-Topic-Modeling
hammou2020/Twitter_Sentiment_Analysis
This repository details the various approach and algorithms used for modelling Sentiment Analyser.
hammou2020/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.