Lazy calculations for Python based on iterators

Developed a text classification model to classify SMS as either spam or non-spam using Python.

textmining_project

parse text into tokens, build memory-efficient token lists and trees,

Tokenizes Japanese documents to enable CRUD operations.

An interactive chatbot that engages with users in real-time conversations, providing personalized responses. With its advanced Natural Language Processing (NLP) capabilities, it can interpret user queries accurately. Created for websites catering to a small niche.

Header only C++17 library to parse a string containing delimited key-value pairs into a map container including the feature to convert from std::string to std::wstring and vice-versa.

A Natural Language Processing model to perform Sentiment Analysis of US Airline Customers

Yet another powerful tokenizer in js.

Trained a model to extract features such as tokens, stems, and capitalization from sentences in a document. Received precision score of 89.41, recall of 92.11, and F1 of 90.74. From my undergraduate NLP class at NYU.

PKH Events

Natural Languange Processing

Fortran 2008 string library

2020Fall NLP Lab1

Utilities for evaluated Tokens

Leveraging 21,000+ Amazon Reviews to conduct Natural Language Processing (NLP), Sentiment Analysis & Supervised Machine Learning to select the best specialty ice cream flavor for our expansion.

Create a practical definition of art (very few words) and work for its universal acceptance.