Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During Covid

Title

Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During Covid

Creator

Vidushi; Rajak A.; Panda R.N.; Kumar A.

Description

Presence of heterogenous huge data leads towards the 'big data' era. Technique's proliferation is rapidly increasing data and making dynamic changes that results in 'big data' world. Progressive transition in technologies and adoption of social media in the society also stepped into the 'big data' epoch. Social media popularity is uprising attention in the community. This platform reduces the communication gap among people. Recently, tweeter use increased with unprecedented rate. Presence of social media like tweeter has broken the boundaries and touches the mountain in generating the unstructured data. It opened research gate with great opportunities for analyzing data and mining 'valuable information'. Sentiment analysis is the most demanding, versatile research to know user viewpoint. Society current trend can be easily observed through social network websites. These opportunities bring challenges that leads to proliferation of tools. This research works to analyze sentiments using tweeter data using Hadoop technology. This study explores the big data arduous tool called Hadoop. Further, it explains the need of Hadoop in present scenario and role of Hadoop in storing ample of data and analyzing it. Hadoop cluster, HDFS, and Hive are also discussed in detail. Researchers enthusiastic work is deeply studied and presented here. Dataset used in performing the experiment is explained briefly. Moreover, this research explains thoroughly the implementation work and provide workflow. Next session provides the experimental results and analyzes of result. Finally, last session concludes the paper, its purpose, and how it can be used in upcoming research. 2024 IEEE.

Source

Proceedings - International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024, pp. 298-302.

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

analysis; Covid; dictionary; Hadoop; hive; information; sentiment; text; twitter

Coverage

Vidushi, Christ (Deemed to Be University), Delhi-NCR, Ghaziabad, India; Rajak A., Kiet Group of Institutions, Delhi-NCR, Ghaziabad, India; Panda R.N., Kiet Group of Institutions, Delhi-NCR, Ghaziabad, India; Kumar A., Kiet Group of Institutions, Delhi-NCR, Ghaziabad, India

Rights

Restricted Access

Relation

ISBN: 979-835038352-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IC2PCT60090.2024.10486448

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191160884&doi=10.1109%2fIC2PCT60090.2024.10486448&partnerID=40&md5=f83300ea528b528d49b54ffc8d5849f9