Sentence Segementor basically helps in classifying sentence boundaries using Named Entity Recognition method. The classifier has been found useful in application like machine translation, sentence classification, NMT etc.

Comparison of multimodal models for Emotion Detection on IEMOCAP

Predictive and Prescriptive Analytics Using LSTM techniques

Deep Learning Based NER Tool for Turkish with BiLSTM, BiGRU, fine-tuned BERT models

An experiment conducted on Twitter, using Bag of Words and BiLSTM algorithms, focus solving three questions.

Semantic Role Labelling for the course Advanced NLP @ Vrije Universiteit Amsterdam 2022-2023

A NLP project on one of the most famous american tv series

Review sentiment analyzer trained on Amazon books reviews

Recurrent Neural Networks (RNNs) are a popular model for many NLP tasks as they perform best with sequential data. For this short analysis, we will use a pre-canned IMDB dataset and test the capabilities of a standard RNN, a Gated Recurrent Unit (GRU), a standard Long Short-Term Memory (LSTM), and a bidirectional LSTM. We will then look into the…

A simple many-to-one string generating Bidirectional LSTM using pytorch

Hotel Review Classifier with BiLSTM

A Reverse Dictionary using BERT, and a new high quality Dataset

Codebase for SiMiD model

A comparative study for fake news detection using deep learning techniques.

This research investigates flight delay trends, examining departure time, airline, and airport factors. Regression machine learning meth- ods are utilized to predict delay contributions from various sources. Time-series models, including LSTM, Hybrid LSTM, and Bi-LSTM, are compared with baseline regression models such as Multiple Regression, Decisi

Decode string typed on one row keyboard into English using Bi-LSTM

Using Bi-LSTM for chunking of words in sentences

[통계청] 자연어 기반 산업 분류 모델링

A Machine Learning model to implement Toxic Comment Classifacrion