Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2…

Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language.

Twitter Sentiment Analysis using various models

Fine-tuning a BERT model using Ktrain | Transfer Learning NLP | Fine Tune Bert For Text Classification

12th place (top 4%) solution for Shopee Code League 2020 - Sentiment Analysis

BERT is a Transformer-based machine learning technique for natural language processing (NLP) pre-training developed by Google.

Political Fake News

Ref: https://github.com/tarcisio-marinho/A-Deep-Learning-Approach-to-Web-Application-Firewall

Arabic Dialect Identification between 18 country-level Arabic dialects using QADI dataset and pretrained language model AraBERT

All of you can use this a bit code that can help you build age predictor app. First thing first, you have to run the google colab so that you can get models machine learning of age prediction. I'm using deep learning algorithm to predict ages.

Machine learning (ML) solution that review end-user license agreements (EULA) for terms and conditions that are unacceptable to the government

Automated & Augmented ML Toolbox for Image Classification

This repository contains data and BioBert based NER model monologg/biobert_v1.1_pubmed from community-uploaded Hugging Face models for detecting entities such as chemical and disease.

Text Classification using ULMFiT and BERT. Challenge solved for ML Fellowship program @Fellowship.ai

universal character encoding detector

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Emotion analysis of English tweets using machine learning approach.

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Part of data repository for thesis/skripsi titled: "Assessment Study on ktrain Library for Text Processing"