What are the steps involved in preparing data for text classification with TensorFlow?
Saturday, 05 August 2023
by EITCA Academy
To prepare data for text classification with TensorFlow, several steps need to be followed. These steps involve data collection, data preprocessing, and data representation. Each step plays a crucial role in ensuring the accuracy and effectiveness of the text classification model. 1. Data Collection: The first step is to gather a suitable dataset for text
What are some preprocessing steps that can be applied to the Stack Overflow dataset before training a text classification model?
Wednesday, 02 August 2023
by EITCA Academy
Preprocessing the Stack Overflow dataset is an essential step before training a text classification model. By applying various preprocessing techniques, we can enhance the quality and effectiveness of the model's training process. In this response, I will outline several preprocessing steps that can be applied to the Stack Overflow dataset, providing a comprehensive explanation of
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Expertise in Machine Learning, AutoML natural language for custom text classification, Examination review
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Abbreviations, Acronyms, Artificial Intelligence, Imbalanced Classes, Lemmatization, Rare Words, Stack Overflow Dataset May Contain HTML Tags That Are Irrelevant For Text Classification. These Tags Should Be Removed Using Regular Expressions Or Specialized Libraries Like BeautifulSoup, Stemming, Stop Word Removal, Text Cleaning, Tokenization, Vectorization