Extract text from papers PDFs and abstracts, and remove uninformative words.
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Updated
May 27, 2024 - Python
Extract text from papers PDFs and abstracts, and remove uninformative words.
California crime analysis between 1980 to 2000 using python performed during my Masters
Performed sentiment analysis using machine learning and Flask , explored the fascinating world of sentiment analysis and learnt how to build powerful models that can classify the sentiment of text data. Covered the entire process from data preprocessing to model training and deployment.
Wordle Wizard can solve any Wordle puzzle. You just need to provide a starting word and a target word. Web app available on Streamlit cloud.
Machine Learning model for sentiment analysis of tweets using Logistic Regression on a Kaggle dataset.
Data Science Course
LSF subreddit sentiment analyzer that runs everyday.
NLTK Source
LaptopLoot automates the process of scraping laptop data from eBay and saving it to a Google Sheet for analysis. `Playwright` for web scraping and `gspread` for Google Sheets integration.
System designed to provide real-time assistance to visually impaired individuals by detecting obstacles in their path and helping them finding desire objects in their environment.
Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.
Knowledge graph from unstructured text
A scraper for investing.com forex news using beautifulsoup and nltk. It also figures out which way (bull or bear) a pair would go using tokenization and a bull/bear vocabulary.
Extracting emotion from sound by looking at sound file's features and the meaning of the sentences using NLTK and LSTM.
IMDB Movie Reviews Sentiment Analysis using RNN
Watcher - Open Source Cybersecurity Threat Hunting Platform. Developed with Django & React JS.
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