A Proposed Approach for Identifying the Connotative Relationship of English Sentences and paragraphs using the NLP package of Python

Connotative Relationship of sentences and paragraphs provide a much-needed method that can extract the sentiment, emotion and knowledge of a writer. Identifying this inherent relationship from the hidden layers of English paragraphs will help in understanding the overall sentiments and emotions of the paragraphs written by various authors. In this context the Natural Language Processing features and packages available in Python can provide a simple and unique solution for the extraction of inferred sentiments and emotions expressed by authors. In this research, an initial attempt has been made to extract the hidden sentiments of individual sentences and paragraphs from English text written by authors. Based on the work done it was found that even though the sentences of a paragraph were providing negative connotations the overall sentiment of the complete paragraph showed a positive sentiment and vice versa. Hence, it is inferred that analyzing and finding the overall sentiment of the paragraphs makes better understanding on the connotative meaning expressed by the authors in their textual writings.