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Raj, Sahil
- Sentiment Analysis of Swachh Bharat Abhiyan
Abstract Views :558 |
PDF Views:1
Authors
Sahil Raj
1,
Tanveer Kajla
1
Affiliations
1 School of Management Studies, Punjabi University, Patiala, Punjab, IN
1 School of Management Studies, Punjabi University, Patiala, Punjab, IN
Source
International Journal of Business Analytics and Intelligence, Vol 3, No 1 (2015), Pagination: 32-38Abstract
The present paper is about the social media analytics. It is a new tool to analyse the behaviour of the users who use social networking sites and other social sites like blogs, forums etc. Every organisation uses this tool to analyse their customers. Even the government agencies are using these analytical tools to get the feedback of their newly launched missions and their policies. In this paper the sentiment analysis of Swachh Bharat Abhiyan is done with the help of tweets extracted from twitter. Tweets regarding Swachh Bharat Abhiyan are extracted with the help of an open source software R-studio. The geo-locations of tweets are also extracted in the software and the results are plotted on the map of India. The pattern of tweets is analysed and the popularity of the mission is evaluated. The word cloud of the popular and the most used words is also formed in the R-studio software. With the overall analysis, the popularity of the mission is perceived according the regions on the map of India, and the strategies can be applied to popularize the campaign in the lesser known regions of India.Keywords
Swachh Bharat, Word Cloud, Geo-Location, Campaign.References
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- A Review on the Role of Emotional Intelligence in different Management Environments
Abstract Views :355 |
PDF Views:0
Authors
Yamini Bali
1,
Sahil Raj
1
Affiliations
1 School of Management Studies - Punjabi University Patiala, Punjab, IN
1 School of Management Studies - Punjabi University Patiala, Punjab, IN
Source
Journal of Strategic Human Resource Management, Vol 8, No 3 (2019), Pagination: 63-73Abstract
This research is to highlight the prevailing role of ‘Emotional Intelligence’ (EI) in Marketing, Production, Finance, Human Resource and Inventory management environments. Where on one end ‘Emotional Intelligence’ is an important trait assimilated by a manager to portray leadership calibre, ‘Emotional Quotient evaluation’ (EQ) of employees can be a breakthrough contribution towards a better employee understanding and management. The purpose of this research is to identify whether it has a similar or distinct impact on each sector. This paper delves into how EQ is used and can be used in different fields of management. The exploration broadens the subject scope to employee level work performance for better management, staffing and scheduling. It evaluates how EQ impacts an employee and in what ways a manager can harness this insight for better results with deeper ken.Keywords
Emotional Intelligence, Different Management, Environments, Leadership.References
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- Sentiment Analysis of Code Mixed Text Consisting of English- Punjabi Lexicon
Abstract Views :250 |
PDF Views:0
Authors
Affiliations
1 Department o f Computer Science, Punjabi University, Patiala, IN
2 School o f Management Studies, Punjabi University, Patiala, IN
1 Department o f Computer Science, Punjabi University, Patiala, IN
2 School o f Management Studies, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 33 (2020), Pagination: 15-23Abstract
Sentiment analysis is a field of study for analyzing emotions of people such as happy, sad, angry, etc. towards the entities and attributes expressed in written text. In this study, the data was collected in the textual form from different sources like Facebook, YouTube, Twitter, and Whatsapp, then pre-processed the collected data. After that, identification of the language of code-mixed text performed, which includes tokenization, word-play, misspelled words, abbreviations, slang words, phonetic-typing, etc. After the identification task, the English-Punjabi dictionary was created which was consisting of opinionated words list like positive, negative, and neutral words list. The rest of the words are being stored in an unsorted word list. In the last, a statistical technique applied at sentence level sentiment polarity of the English-Punjabi code mixed dataset. It was identified that the results up to the Five-Grams and Tri-Grams approaches had the similarity.Keywords
Code Mixed Text, Romanized Text, Natural Language Processing, Text Processing, Romanized Text, Sentiment Analysis, Microblogging.References
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