NLTK (Natural Language Toolkit) is a popular Python library for working with natural language data. It provides a wide range of tools and functions for processing and analyzing text, including functions for tokenizing text, part-of-speech tagging, stemming, and more.
NLTK was originally developed for use in teaching and research, but it has since become a widely-used tool for natural language processing tasks in industry. It is popular among data scientists and researchers who work with text data, and it is often used in applications such as sentiment analysis, topic modeling, and text classification.
NLTK is free and open-source, and it is actively maintained by a community of contributors. It is widely regarded as one of the most comprehensive and user-friendly natural language processing libraries available for Python.
Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user has previously consumed or liked. This approach aims to identify items with certain keywords, understand what the customer likes, and then identify other items that are similar to items the user has previously consumed or … Read more
