A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas
Performant parser for textual data (CSV parser)
A Twitter sentiment analysis for the two most powerful US presidential election candidates Donald Trump and Joe Biden just a few months before the election. Data was taken from replies of general public on a tweet from each of the candidates.
Sentiment Analysis of Movie Reviews
Implemented a system which can categorize or classify a textual data using Deep Neural Network Model trained using Google Tensorflow.
Offline search engine for any corpus. Uses TF-IDF scores for ranking.
Python library to perform topic detection on textual data that are generated over time.
A survey of techniques form user profiling from textual data.
A Case Study On The Rising Omicron Cases and Public Sentiment Analysis using Twitter Data
HSE ML Project - Psychotypes analysis by Myers–Briggs Type Indicator
NLP toolkit for those nonsensical ontologies
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