Automated Therapy Session Transcription and Progressive Note Generation with Suggestion System

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

This is my final year project "customer reviews classification and analysis system using data mining and nlp". It analyzes and then classifies the customer reviews on the basis of their fakeness, sentiments, contexts and topics discussed. The reviews are taken from various e-commerce platforms like daraz and amazon.

Machine Learning Library for Classification Tasks

LDA, BERTopic and bipartite network for topic modeling

Python code: Uses LDA for topic modeling on text data.

Facial Recognition system with AI and Statistical Learning models

Uncovering Patterns in Stack Exchange Data

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

기관 협업 공동 연구(23.08~12) - 한국기초과학지원연구원(Korea Basic Science Institute)

Analysis of Instagram Post Engagement through Topic Modeling

Unlock the depths of Wikipedia with WikiBot. It delivers concise summaries and suggests related articles to fuel your curiosity and guide your exploration.

Uso de structural topic modeling para análise de teses e dissertações da pós-graduação em filosofia no Brasil.

LDA is a machine learning algorithm. If you use the mallet toolkit, it results in some files which are great for NLP programs, but are not immediately human-friendly. This makes it human friendly. Take a look!

Topic Modelling for Academic Papers with NLP

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Reconhecimento de Padrões: implementação de um classificador Bayesiano e uma classificador unidimensional baseado em limiar usando técnica de LDA

Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.