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Text Classification

text classification

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)

Use case-1

Product categorization for an Ecommerce business

Use case box 2

Identify & recognise types of documents in KYC/loan disposal processes and automatically despatch to respective departments

Use case-1

Automatic extraction, validation and redirection to respective departments of business emails.

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Features

Features Box 1

Ready-made pre-processing and training pipeline for any kind of labelled text data

Features Box 2

As high as 10,000 categories supported for classification

Features Box 3

English and Spanish linguistic models are readily available

Inquire NowLooking to derive actionable intelligence from text?

Tech Stack

Text Classification

Python Library: Genism, SpaCy, scikit-learn, Tensorflow, ELMo

Algorithm: TF-IDF, Word2Vec, Naïve Bayes, SVM, Neural Networks

Quick Links

Demo

See how teX.ai can help you glean insights from the text data you possess.

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Brochure

For a quick glance of the advantages teX.ai can offer you, download our brochure now!

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FAQs

Our carefully curated FAQs will help address all questions you have about teX.ai!

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