Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data Scientific Reports The NLTK library contains various utilities that allow you to effectively manipulate and analyze linguistic data. Among its advanced features are text classifiers that you can use for many kinds of classification, including sentiment analysis.

The Power of Natural Language Processing But because they don’t fit into relational databases’ conventional architecture, NLP data sets are unstructured. In this way, despite the fact that words themselves may suggest numerous meanings, robots can learn what is meant by any utterance. Thus, NLP data sets enable cognitive language

The impact of educational chatbot on student learning experience Education and Information Technologies Teaching agents play the role of human teachers and can present instructions, illustrate examples, ask questions (Wambsganss et al., 2020), and provide immediate feedback (Kulik & Fletcher, 2016). On the other hand, peer agents serve as learning

Machine Learning ML for Natural Language Processing NLP Each document is represented as a vector of words, where each word is represented by a feature vector consisting of its frequency and position in the document. The goal is to find the most appropriate category for each document using some distance