textClassifier and hierarchical-attention-networks

These are **competitors**: both implement the same Hierarchical Attention Networks architecture for document classification, offering alternative implementations of the same paper with no dependency relationship between them.

textClassifier
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 20/25
Stars: 1,080
Forks: 374
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 87
Forks: 25
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About textClassifier

richliao/textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

This tool helps you automatically sort documents or pieces of text into categories. You provide a collection of text data, and it identifies the core topics or sentiments within each piece, assigning it to a specific label. It's designed for data analysts or researchers who need to categorize large volumes of textual information efficiently.

document-categorization text-analysis information-management content-sorting data-labeling

About hierarchical-attention-networks

qtuantruong/hierarchical-attention-networks

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

This project helps you automatically categorize text documents like customer reviews or product feedback. You input a collection of text documents, and it outputs classifications, making it easier to sort and analyze large volumes of text. This is designed for data scientists or researchers who need to classify unstructured text efficiently.

document-classification text-analytics customer-feedback sentiment-analysis research-data-categorization

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