Natural Language Processing Practicals on different concepts to analyze and understand the practical implementation their use and actual use.
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Updated
Apr 18, 2022 - Jupyter Notebook
Natural Language Processing Practicals on different concepts to analyze and understand the practical implementation their use and actual use.
Hugging Face Transformers, a popular Python library, offers pre-trained models for various powerful toolkit for NLP tasks, opening doors to career opportunities and be part of the innovation that will change the world with shaping the future of human-machine interaction.
Natural Language Processing
Raku grammar classes for weather data entities. (Variable- and station names.)
Custom name entity model with spaCy for specific domains
Extracting appropriate named entities using both NLTK and SpaCy and identifying the most frequently mentioned company in the given news articles and tweets.
my documentation to learn more the basic concepts of NLP using Python
Character names scraping for Harry Potter series, name entity recognition on Harry Potter books and network analysis of characters
Name Entity Recognition with syntactic and Lexical Processing in identifying Disease and Treatment Entities in healthcare data
An unsupervised model to clustering Thai news. Using TD-IDF, SimCSE-WangchanBERTa with weighted by number of named entities as a vector representation, and using k-means as an clustering model.
Text Annotation App
Mossaida is an APP powered by NLP to help people with reduced mobility in Human-Machine interactions
Natural Language Processing Course Labs
Bangla Name Entity Recognition using SpaCy
Demo for Name Entity Recognition task with transformers
To explore the LLMs such as GPT-3. Demonstrate the strategies to design prompts are reproducible and produce a consistent result. Set up an MLOps pipeline that helps automate the task of using different LLMs and different topics. Allow improvements in the prompt design to be integrated without breaking the system and centralized log system shoul…
my exercises of course natural language processing datacamp
An AI-powered, but model-agnostic name-entity recognition toolkit.
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