Java NLP Tutorial: Stanford NLP Library, Tokenization, Sentiment Analysis, REST Spring API смотреть онлайн

In this comprehensive Java NLP tutorial, we delve into the powerful world of Natural Language Processing (NLP) using the Stanford NLP library. With step-by-step guidance, we explore essential NLP tasks and build a RESTful Spring API that harnesses the capabilities of NLP. Whether you're a beginner or an experienced developer, this video will equip you with the knowledge to effectively process text data.

Topics Covered:

Tokenization: Learn how to break down text into meaningful units, such as words or phrases, for further analysis.
Sentence Splitting: Understand techniques to accurately split paragraphs into individual sentences, a fundamental step in NLP.
Part of Speech Tagging: Explore how to identify the grammatical parts of speech (nouns, verbs, adjectives, etc.) in a sentence.
Lemmatization: Discover how to reduce words to their base or root form, aiding in text normalization and analysis.
Named Entity Recognition: Dive into the world of named entity recognition, extracting key information such as names, dates, and locations from text.
Sentiment Analysis: Learn how to gauge the sentiment or emotional tone of text using NLP techniques, with practical applications across various domains.
Additionally, we'll take our NLP skills to the next level by leveraging the knowledge gained to build a robust RESTful Spring API. By the end of this tutorial, you'll have the expertise to integrate NLP functionalities into your own Java applications seamlessly.