Archives for text classification

23 Apr

How to make text classification explainable with the SS3 classifier?

SS3 has obtained state-of-the-art performance on the early risk detection (ERD) problems on text streams. Since it was designed to deal with risk detection over text streams, it supports incremental training and classification, as well as a visual explanation

22 Apr

Write an essay in 5 lines of code using GPT-Neo

Sourabh Mehta AI-Powered writing assistants

GPT Neo is an open-source alternative to GPT 3. It is an open-source model trained like GPT 3, an autoregressive transformer using the mesh library.

28 Dec

A Beginner’s Guide to Text Classification using BERT Features

Basawanyya Hiremath bert

We have seen many recent advancements in the field of data science which have made the task of practitioners very simple. BERT is such an advanced development in this field which has performed many complex tasks with very little effort. When it comes to complex text-based modelling, BERTs are preferred due to their ease of […]

26 Dec

What is Extreme Multilabel Text Classification?

Vijaysinh Lendave data science

The problem of assigning the most relevant subset of class labels to each document from an extremely large label collection, where the number of labels could reach hundreds of thousands or millions, is known as extreme multi-label text classification (XMTC).

22 Dec

Hands-On Guide to Hugging Face PerceiverIO for Text Classification

Vijaysinh Lendave data science

A perceiver is a transformer that can handle non-textual data like images, sounds, and video, as well as spatial data.

26 Sep

A Complete Guide to Using WordNET in NLP Applications

Yugesh Verma artificial intelligence

it is required to understand the intuition of words in different positions and hold the similarity between the words as well. WordNET is a lexical database of semantic relations between words in more than 200 languages.

10 Sep

A Complete Guide to LSTM Architecture and its Use in Text Classification

Yugesh Verma anomaly detection using LSTM

LSTM has a feature through which it can memorize the sequence of the data. it works on the elimination of unused information which can help in text classification

16 Aug

Beginner’s Guide To OpenNRE Toolkit

Yugesh Verma analytics

OpenNRE provides a framework for the implementation of relation extraction models as an open-source toolkit. Various trained models are available in the package.

The post Beginner’s Guide To OpenNRE Toolkit appeared first on Analytics India Magazine.

09 Aug

Hands-On Guide to Small Text: A Python Tool for Active Learning

Yugesh Verma active learning

the article is more focused on the small text library for active learning, which provides active learning algorithms for text classification and allows mixing and matching many classifiers.

The post Hands-On Guide to Small Text: A Python Tool for Active Learning appeared first on Analytics India Magazine.

19 Jul

Guide To Pysentimiento Toolkit | Text Classification Using Transformers

Yugesh Verma Developers Corner

Pysentimiento comes to save us from all these hard-working processes. Pysentimiento is the best way to perform text classification and sentiment analysis. The best thing is that it has two features that we can use, we can analyze the text in two languages(English and Spanish) with a single module

The post Guide To Pysentimiento Toolkit | Text Classification Using Transformers appeared first on Analytics India Magazine.

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