Nlp Notebooks

Nlp Notebooks - learn NLP with interactive no… | Awesome Repos

Features

Jupyter Notebook Collections - Provides a collection of interactive notebooks demonstrating sentiment analysis, topic modeling, and entity extraction.
Interactive Notebook Environments - Provides interactive notebook environments for executing code and exploring machine learning workflows.
Machine Learning Models - The library provides textual content categorization to sort written information into specific labels or intents by applying statistical models or modern language processing architectures.
Topic Models - Uses statistical models to discover latent thematic structures in text corpora.
Document Topic Prediction - Predicts document topics by applying trained probabilistic models to organize primary subjects.
Large Language Model Fine-Tuning - Implements fine-tuning workflows to adapt large language models to specific downstream tasks.
Named Entity Recognition - Provides systems for identifying and classifying entities such as people, organizations, and locations within unstructured text.
Word Embeddings - Maps words and sentences into numerical vector spaces to capture semantic relationships.
Semantic Similarity Calculation - Calculates the semantic relationship between texts to determine similarity in meaning.
Sentiment Analysis Tools - Provides tools for classifying the emotional tone of text as positive, negative, or neutral.
Sequence Labeling Architectures - Implements sequence labeling architectures to classify individual tokens within text streams.
Sequence-to-Sequence Models - Utilizes transformer-based sequence-to-sequence models to capture complex contextual relationships in text.
Text Classification - Implements workflows for categorizing and labeling text inputs using language models.
Topic Modeling Libraries - Provides libraries for identifying latent thematic structures in large text collections using unsupervised statistical algorithms.
Sentence Pair Scoring - Computes precise similarity scores between sentence pairs to facilitate data exploration.
Semantic Word Embeddings - Generates semantic word embeddings to map linguistic data into high-dimensional numerical vector spaces.

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See all 30 alternatives to Nlp Notebooks

nlptownnlp-notebooks

Features

Open-source alternatives to Nlp Notebooks

RaRe-Technologies/gensim

d2l-ai/d2l-en

chatopera/Synonyms

microsoft/nlp-recipes

Star history

Open-source alternatives to Nlp Notebooks

RaRe-Technologies/gensim

d2l-ai/d2l-en

chatopera/Synonyms

microsoft/nlp-recipes