Emotion Recognition By Textual Tweets Using Machine Learning (original) (raw)

Abstract

Opinion mining has become difficult due of the abundance of user-generated content on social media. Twitter is used to gather opinions about products, trends, and politics as a microblogging site. Sentiment analysis is a technique used to examine people's attitudes, feelings, and opinions toward anything. It may be applied to tweets to examine how the public feels about news, legislation, social movements, and political figures. Natural language processing and machine learning are both regarded as having a category called sentiment analysis. It is used to separate, identify, or represent views from various information structures, such as news, audits, and articles, and it classifies them as positive, neutral, or negative. From tweets in several Indian languages, election results are tough to forecast. To get tweets in Hindi, we used the Twitter Archiver programme. We used data (text) mining to examine 48,276 tweets that mentioned five national political parties in India over the course of a period of time. Both supervised and unsupervised methods were applied.

Figures (6)

Table:6.2 Dataset Table for Election Result Prediction

Table:6.2 Dataset Table for Election Result Prediction

Wy International Research Journal of Engineering and Technology (IRJET) _ e-ISSN: 23 IRJET Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 23 5.2 ACTIVITY DIAGRAM

Wy International Research Journal of Engineering and Technology (IRJET) _ e-ISSN: 23 IRJET Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 23 5.2 ACTIVITY DIAGRAM

An activity diagram uses graphics to represent the flow of control or the order of occurrences within a system. Activity diagrams are often used in business process modelling. Ina use case graphic, they can also describe the steps. Sequential and concurrent activities can both be modelled. An activity diagram will always have a start (also known as an initial state) and an end (a final state). 6. Implementation

An activity diagram uses graphics to represent the flow of control or the order of occurrences within a system. Activity diagrams are often used in business process modelling. Ina use case graphic, they can also describe the steps. Sequential and concurrent activities can both be modelled. An activity diagram will always have a start (also known as an initial state) and an end (a final state). 6. Implementation

Table 7.1: Test Case Scenario on Emotion 7.2 SYSTEM TESTING: the processes of achieving hassle free software we plan testing and test cases. Software testing is done for the success of the application. The testing is done mainly to check whether the product meet the requirement of the user properly. It is used to check the bugs and errors in the system or to find out the defects of the system. A framework's modules are merged for execution after each one has undergone thorough testing. At that point, it is necessary to undertake top-down testing, which begins with

Table 7.1: Test Case Scenario on Emotion 7.2 SYSTEM TESTING: the processes of achieving hassle free software we plan testing and test cases. Software testing is done for the success of the application. The testing is done mainly to check whether the product meet the requirement of the user properly. It is used to check the bugs and errors in the system or to find out the defects of the system. A framework's modules are merged for execution after each one has undergone thorough testing. At that point, it is necessary to undertake top-down testing, which begins with

[upper-level modules and moves down to lower-level ones, to determine whether the entire framework is operating as intended. CONCLUSIONS Managing client interactions, human computer interface, information retrieval, more natural text-to-speech systems, and sociological and literary analysis are just a few of the practical uses for emotion detection and creation. There are, however, very few resources with restricted coverage for emotions, and those are only available in English. In this study, we demonstrate how a large term-emotion association vocabulary may be produced swiftly and affordably by harnessing the strength and collective knowledge of the masses. There are entries for more than 10,000 word-sense pairs in this lexicon, called EmoLex. Each entry lists a word- sense pair's associations with the eight fundamental emotions. WW International Research Journal of Engineering and Technology (IRJET) _ e-ISSN: 239 [IRJET Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 239 ](https://figures.academia-assets.com/93243993/figure_004.jpg)

upper-level modules and moves down to lower-level ones, to determine whether the entire framework is operating as intended. CONCLUSIONS Managing client interactions, human computer interface, information retrieval, more natural text-to-speech systems, and sociological and literary analysis are just a few of the practical uses for emotion detection and creation. There are, however, very few resources with restricted coverage for emotions, and those are only available in English. In this study, we demonstrate how a large term-emotion association vocabulary may be produced swiftly and affordably by harnessing the strength and collective knowledge of the masses. There are entries for more than 10,000 word-sense pairs in this lexicon, called EmoLex. Each entry lists a word- sense pair's associations with the eight fundamental emotions. WW International Research Journal of Engineering and Technology (IRJET) _ e-ISSN: 239 [IRJET Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 239

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References (7)

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