Generate a TV script using RNNs
Analysis and Visualizations for COVID-19 Bing search engine queries + Classifier pipeline for predicting country based on search query.
This repository is an effort to showcase different text classification approaches on a consumer complaints dataset.
A simple web app that uses a trained sequential neural net to predict the rating of a hotel review.
Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com
Snippets of the additional code used in personal blog
MatNexus is an end-to-end software for the automated collection and analysis of scientific articles' text, streamlining literature retrieval and offering powerful visualization and machine learning capabilities for material science research.Scientific literature processing for Materials Science
Spring 2023 graduation thesis for mathematical engineering program of Istanbul Technical University
In this project, my colleague Catherine Lee (Rutgers) and I employ computational text analysis to examine quantitative trends in the use of diversity terms, OMB/Census terms, and other population labels in a sample of 2.6+ million biomedical abstracts spanning the last 30 years.
Developed a deep learning model utilizing TensorFlow to automate the classification of financial documents. Leveraging a Bidirectional LSTM RNN, we accurately categorize the documents. Our user-friendly Streamlit application ensures high accuracy & efficiency in document management, all deployed on the Hugging Face platform for seamless integration
Generated own Simpsons TV scripts using RNNs.
Image Captioning using Neural Networks
Intent classification is the automatic categorization of text data based on customer goals. It is known to be a complex problem in NLP. Sequence Labelling aims to classify each token (word) in a class space C. This project addresses these two problem statements by covering the basic concepts of NLP to advanced ones. For instance, linguistics ana…
DSC 214 Topological Data Science Project
Repository for R Markdown Notebook containing codes for the paper "vector space models and the usage patterns of Indonesian denominal verbs" (published in NUSA)
A PyTorch implementation of Global Vectors (GloVe).
Data Science for Psychology: A Book
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
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