Exploit some RNN to achieve POS tagging
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Updated
Jan 17, 2022 - Jupyter Notebook
Exploit some RNN to achieve POS tagging
An implementation of bigram and trigram HMM model for POS Tagging. Deleted interpolation strategy is used for trigram implementation
NLP solutions for some linguistics problems.
Language Modelling (text generation, spell correction) and Sentiment Analysis / POS Tagging with MLP, RNN, CNN and BERT models and LLM prompting
POS-tagging and human values classification projects using LSTMs and Transformers (RoBERTa)
BiLSTM Neural Network solution of the NER task over Italian tweets.
Streamlit WEB app for Category classification, for news - multi-label text classification problem.
Script used for POS-tagging the C-CLAMP corpus
Some of the projects developed for learning reasons.
The question-answer paper discusses Data mining techniques in Data Science
Perform Part-of-Speech tagging on a corpus
Part of Speech Tagger for language strings using Bidirectional LSTM network.
NLP projects
Go client library for the ndthuan/vi-word-segmenter service
Research Methodology
UserPersonaToUserStory is a project that aims to help user in converting user persona to user story.
Analyzing Customer Response across iPhone models using R
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