https://github.com/krisharul26/text-classification-dbpedia-ontology-classes-using-lstm

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can be organized by sentiment, and so on.
https://github.com/krisharul26/text-classification-dbpedia-ontology-classes-using-lstm

attention-mechanism bagofwords flask-application gensim-doc2vec gensim-word2vec glove-embeddings lemmatization lstm-neural-networks nlp-machine-learning nltk-python restapi-framework rnn-tensorflow stemming tensorflow2 word2vec-embeddinngs word2vec-model

Last synced: about 1 month ago
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Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can be organized by sentiment, and so on.

• Host: GitHub
• URL: https://github.com/krisharul26/text-classification-dbpedia-ontology-classes-using-lstm
• Owner: KrishArul26
• Created: 2021-11-05T20:07:36.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-17T19:43:50.000Z (about 3 years ago)
• Last Synced: 2023-05-10T19:29:22.253Z (over 1 year ago)
• Topics: attention-mechanism, bagofwords, flask-application, gensim-doc2vec, gensim-word2vec, glove-embeddings, lemmatization, lstm-neural-networks, nlp-machine-learning, nltk-python, restapi-framework, rnn-tensorflow, stemming, tensorflow2, word2vec-embeddinngs, word2vec-model
• Language: Python
• Homepage:
• Size: 27.3 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0

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