Sentiment AI : Extraction and Analysis From Webblogs Using Python

Sentiment detection is a key to real time identification of human sentiments. Sentiment detection towards the recent developments in artificial intelligence holds the key for developments in all industries where applications of artificial intelligence exist or may exist in future. With the growing number of complexities in artificial intelligence applications for varied results, the onus lies on understanding the trends of the research community to detect the movement of development in different paths of development. Many existing methods can be used to identify the sentiments of researchers and learners in artificial intelligence. Several of such methods do exist to cater to such necessities. In this research paper, four methods namely word count, word space, word correlation and similarity algorithm, have been tested using python 3.10.13 codes on seven web sources which excels in discussions on research and developments in artificial intelligence.