Text Analysis for aLL

A flexible sentiment analysis classifier package supporting multiple pre-trained models, customizable preprocessing, visualization tools, fine-tuning capabilities, and seamless integration with pandas DataFrames.

Professional tool for detecting and analyzing text repetitions.

Visualization of sensitive content analysis using Indonesian case data – quick setup with Python, Pandas, Matplotlib, Seaborn.

FiscalTone: Text Analysis of Fiscal Policy Communications from Peru's Fiscal Council. Pipeline for scraping, processing, and performing text analysis on Consejo Fiscal (cf.gob.pe) documents to score fiscal risk sentiment using LLM-based classification (GPT-4o). Produces a novel Fiscal Tone Index from time-series analysis of official reports

End-to-End Sentiment Analysis Web App built with Python. Uses Logistic Regression and TF-IDF to classify tweets as Positive or Negative in real-time. Deployed using Streamlit.

AI Text Moderation, Toxicity, Aspects & Sentiment Analyzer FREE API. The best multilingual AI Text Analyzer for Sentiment, Toxicity, Emotion, Aspects & Smart Moderation.

This is a Natural Language Processing (NLP) application that provides comprehensive analysis of text input, including various statistics and visualizations. The application is available both as a Python module and as a web application.

Web scraping and NLP assignment: Extracts text from URLs, analyzes content, computes variables. Perfect for honing web scraping and NLP skills.

Analyze TripAdvisor reviews from Aurangabad hotels. Extract sentiments, high-frequency words, and correlations for industry insights.

Python-based tool for scraping web essays and articles, performing dictionary-driven sentiment analysis, and computing readability and linguistic metrics. Converts qualitative text into structured quantitative insights with Excel-based input/output.

Text analysis of ecology and evolution abstracts using crossref

My portfolio website for the DH course at ISMC - haider