Towards Sustainable Living through Sentiment Analysis during Covid19
- Title
- Towards Sustainable Living through Sentiment Analysis during Covid19
- Creator
- Goswami M.; Abraham A.
- Description
- Artificial intelligence is the process of the machine to perform with the simulation of human intelligence. Computing within the field of emotions paves the recognitions to sentiment analysis. Sentiment analysis is the method of capturing the emotions behind a text whether or not it's positive, negative or neutral. Sentiment Analysis (SA) or Opinion Mining (OA) is the process to provide computational treatment to unstructured data to categorize and identify the sentiments or emotions expressed in a piece of text. It combines Natural Language Processing Techniques and Machine Learning Techniques. This technology is additionally referred to as opinion mining or feeling computing. Sentiment Analysis uses the ideas of machine learning alongside an AI based process called NLP to extract and analyse the data, emotions, information from the text. This work explores the impact of social media during covid 19 and possible link between sustainable living and health care with the usage of sentiments. This paper address the sustainable development goal 3 (good health and wellbeing) of SDG 2030 and a possible way towards sustainable living through sentiment analysis. The Electrochemical Society
- Source
- ECS Transactions, Vol-107, No. 1, pp. 18569-18582.
- Date
- 2022-01-01
- Publisher
- Institute of Physics
- Subject
- good health and wellbeing; impact of covid 19; impact of social media; sentiment analysis; sustainable development goals; twitter
- Coverage
- Goswami M., CHRIST (Deemed to be University), Bangalore, India; Abraham A., CHRIST (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 19386737; ISBN: 978-160768539-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Goswami M.; Abraham A., “Towards Sustainable Living through Sentiment Analysis during Covid19,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20290.