Personal machine learning projects. (jupyter notebooks, python scripts, KNIME, SQL, scrapers etc, & R for Structural Equation Modelling on UX/CSat)

This Colab notebook contains my solutions for a DataAnalytics project that involved analyzing a dataset

This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.

This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.

Introducing Natural Language Processing (NLP) with jupyter notebooks.

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

Sentiment Analysis of Arabic and Persian Tweets Following the Assassination of Qasem Soleimani

☕ notebooks for playing around with NLP tasks

Created a Python script to perform a sentiment analysis of the Twitter activity of various news outlets. These findings are visualized in both a scatter plot and a bar chart. Skills Needed: Python, Pandas Library, Jupyter Notebook, Tweepy, TextBlob Matplotlib and Seaborn