Unraveling the Power of Semantic Analysis: Uncovering Deeper Meaning and Insights in Natural Language Processing NLP with Python by TANIMU ABDULLAHI
Latent Semantic Analysis and its Uses in Natural Language Processing Adam Wasserman Site Consider the task of text summarization which is used to create digestible chunks of information from large quantities of text. Text summarization extracts words, phrases, and sentences to form a text summary that can be more easily consumed. The accuracy of the summary depends on a machine’s ability to understand language data. This is a key concern for NLP practitioners responsible for the ROI and accuracy of their NLP programs....