Vector space modeling of MovieLens & IMDB movie data

Comparison of several dimension reduction methods aiming at the extraction of latent semantic information

Final project for the course "EE4037 Introduction to Digital Speech Processing" 2020 fall.

Implementation of various Extractive Text Summarization algorithms.

Expert user recommendation system for online Q&A communities

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

Walkthrough a toy example of Latent Semantic Analysis

Retrieval of Semantically Relevant Documents using Latent Semantic Analysis

weighted topic modeling

For any given query, an Information Retrieval (IR) system is used to obtain and rank relevant word documents from the data collection of interest. The most basic IR system uses Term Frequency Inverse Document Frequency (TF-IDF) to represent documents and queries as vectors, and then uses measures like cosine similarity to assess the relevance of…

Simple chatbot prototype with Latent Semantic Analysis

The work presents “Anwesha: A tool for Semantic Search in Bangla”. This work shows explorations toward building a search engine prototype in Bangla language. The work used sources from WordNet, Wikipedia and statistical co-occurences(LSA) for retrieval of semantically related documents.

The script gets a list of words from an excel sheet and will upload them to the following website: http://lsa.colorado.edu/cgi-bin/LSA-matrix.html, "This interface allows you to compare the similarity of multiple texts or terms within a particular LSA space. Each text is compared to all other texts." The results for each subject will be saved in…

Improve Text Segmentation using Latent Semantic Analysis

Working towards deliverable 5.3

Repository for the project of Information Retrieval

Pipeline for training LSA models using Scikit-Learn.

GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis