Experience with deploying and monitoring machine learning models

The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. May 29, 2012 ... ... text classification using a world knowledge ontology. Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 ... Text classification is a classic topic for natural language processing, in which one needs to assign predefined categories to free-text documents. The range ... This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text ... Jan 29, 2024 ... This post will focus on the Text Classification and Zero-Shot Text Classification tools and includes a demo that sorts e-commerce listings from this Kaggle ... Sentiment analysis. Text classification allows organizations to manage their brand effectively on multiple channels by extracting specific words that indicate ... Text classification also known as text tagging or text categorization is the process of assigning tags/labels to unstructured text. Using Natural Language ... Text Classification, also known as text categorization or text tagging, is a technique used in machine learning and artificial intelligence to automatically ... Oct 13, 2016 ... Multilingual Text Classification (MLTC) is a text classification task in which documents are written each in one among a set L of natural ... The text classification algorithm takes a text string as input and outputs a probability for each of the class labels. Training datasets must be in CSV format.