Abstract: The conventional approaches to analyze the sentiment of text do not consider the relationship between words that show emotion and modifiers, they simply accumulate the words of the sentence to obtain the sentiment of short text. Along with sentiment analysis, the increasing amount of online information, and recourse texts, text summarization has also become an important subject with aims to preserve and show the main purpose of textual information. It is exceedingly difficult for human beings to manually summarize large documents of text. With this project, users would save a lot of time as well as conserve the resources which can be employed for better enterprises. The project would also sustain the bulk of the spam as well and give a brief of the complete information. It also helps to analyze the overall sentiment of the article and classifies it based on the data present.
Keywords: Sentiment recognition, text summarization, News classifier, Spam Check.
| DOI: 10.17148/IJARCCE.2021.10555