napsternxg/DeepSequenceClassification
Deep neural network based model for sequence to sequence classification
This helps identify specific types of information within text, like names, dates, or product categories. You provide raw text documents, and it outputs the same text with annotations highlighting the detected entities or classifications. It's useful for data analysts, researchers, or anyone needing to extract structured insights from large volumes of unstructured text.
No commits in the last 6 months.
Use this if you need to automatically find and classify specific words or phrases in your text documents, like identifying all person names or dates.
Not ideal if your primary goal is to summarize documents, translate languages, or generate new text content.
Stars
76
Forks
20
Language
Python
License
GPL-2.0
Last pushed
Nov 22, 2017
Commits (30d)
0
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