Personality Inferencing ML
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Updated
Apr 1, 2022 - Jupyter Notebook
Personality Inferencing ML
Understanding the growth pattern in districts of India using mass media data
TCS Enterprise Intelligent Automation – ARITIFICIAL INTELLIGENCE Competition Repository for TCS Enterprise Intelligent Automation – ARITIFICIAL INTELLIGENCE Competition. datasets are taken from Kaggle Quora competition.
Georgetown University Medical Center ICBI summer 2019 research project involving the automation of the annotation of patients' clinical notes.
Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.
Efficient Word2Vec vectors for Sentiment Analysis to improve Commercial Movie Success, done in two phases, involving machine learning and sentiment analysis.
Nucleic Acids Research Data Discovery
Using digital form of the actual scripts of the 'Star Trek' science fiction series to perform interesting NLP tasks and answering some questions on Topic Modelling, Character properties and the plot as a whole.
2023년 7월 논문게재(한국벤처창업연구) : COVID-19에 따른 글로벌 창업 트렌드 분석: Cruchbase를 중심으로(Analysis of Global Entrepreneurship Trends Due to COVID-19: Focusing on Crunchbase, 1저자
A project featuring the use of various NLP techniques and ML algorithms like the topic modelling and paragraph embeddings, for document clustering. 📰📚
Proof of concept project that implements a keyword search (text similarity) over a corpus
Document-level semantic clustering. Unsupervised topic modelling.
Indonesia Constitution Question Answering System (Telegram Bot, Streamlit Page, and HTTP API)
Code, données et documentations de l'atelier "Apprentissage automatique pour la classification textuelle" organisé dans le cadre de l'Action Nationale de Formation "Exploration documentaire et extraction d'information" CNRS-INRAE en 2020-21.
Cluster documents with Fuzzy-ART and PV-DM
A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.
This app uses Machine Learning NLP/topic modeling/document similarity techniques to group OMSCS CS-6460 Fall 2018 students by interests based on their essays/writing assignments
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