A multialgo-ML classification engine customised for parsing short text stories and detecting the category. Load your labelled training data, our engine learns using the ensemble ML models and chooses the best model to fit the best-suited label. Our team of data scientists help you in configuring the initial setup and retune the models.
In a Nutshell
Assign a category to each document (invoices, bank statements, investor reports, books, articles, journals, reviews, tweets, comments, legislation).
Functions (Use Cases)
Python Library: Genism, SpaCy, scikit-learn, Tensorflow, ELMo
Algorithm: TF-IDF, Word2Vec, Naïve Bayes, SVM, Neural Networks