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Naïve Bayes is used as a baseline model. The task on which they are evaluated is hierarchical text classification of short Norwegian texts, specifically ...

Transformers have now become the main pillar for most of the Natural Language Processing tasks (NLP), like sentiment analysis, ...

Multi-class text classification (TFIDF) Python · Consumer Complaint Database. Multi-class text classification (TFIDF) Notebook. Data. Logs. Comments (15) Run. 212.4s. history Version 3 of 3. Data Visualization Education Classification Feature Engineering. Cell link copied. License. This Notebook has been released under the Apache 2.0 open ...

When performing the multi-class text classification, a group of 6 machine learning algorithms is used: Support Vector Machines, Decision Tree Classifier, Random ...

... internal dataset, we benchmark the performance of BERT across different Active Learning strategies in Multi-Class Text Classification.

In this article, we are going to discuss automated multi-class classification on the mixed data type. Think about text classification.

Each complaint has been labeled with a specific product; therefore, this is a supervised text classification problem. With the aim to classify ...

This is multi-class text classification problem. I can't wait to see what we can achieve! Data Exploration. Before diving into training machine ...

In this article, we will go through a multiclass text classification problem using various Deep Learning Methods. So lets first understand ...