rafiulbiswas's repositories
ArAIEval_ArabicNLP24_Task_1
Task 1: Unimodal (Text) Propagandistic Technique Detection
hatespeech-detection
We applied Lo- gistic Regression, SVM, Random Forest, Decision tree, and Gradient Boost to predict the label be- tween yes and no. Then, we measured the ac- curacy, precision, recall, and F1- Score for each test
NLP_Notebooks
This repository contains a collection of Jupyter notebooks that demonstrate how to use natural language processing techniques to analyze text data. The notebooks cover a range of topics, including sentiment analysis, topic modeling, named entity recognition, word embedding, tokenization, and lemmatization.
scikit-llm
Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
awesome-ai-summerschool
A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare
Vaccine-Rollout-and-Sentiment-Shift-in-Twitter-Population-A-Surveillance-Study
This study aims to find out the variation of Twitter users’ sentiment before and after the COVID-19 vaccine rollout. We analyzed all COVID-19 related tweets posted on Twitter within two timeframes: September 2020 (T1) and March 2021 (T2
Minimal-Vertex-Cover
Implements König-Egeváry theorem by finding a minimum vertex cover for a bipartite graph
twitter-community-detection
University project: Twitter community detection using Modularity, Infomap, Label propagation and Multilevel algorithms
SampleImagePicker
Pick Image from folder
Sample-Image-Picker
Pick Image from folder
Implementation-of-Adv-Data-Structures
Implemented various projects on advanced algorithms in Graphs like Maximum weighted bipartite matching, Shortest path algorithms like Bellman-Ford algorithm, Djikstra algorithm, DAG, Minimum Spanning Tree algorithms like Kruskal, Prims, Hashing, Priority Queues, ecommerce website like Amazon, Arithmetic operation on very big numbers using linked list and so on. Developed all projects in Java.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera