An Analysis of Customer Sentiments Towards Education Technology App: A Text Mining Approach

Rao, M. Karthik; Dhanya, M; Palathil, Arjun

doi:10.2139/ssrn.3563577

Cited by 5 publications

(2 citation statements)

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“…Now, people are getting more and more inclined towards online mode of learning. The customer reviews available online play a great role in shaping the sentiments of the customers, and accordingly marketers can make use of these reviews to understand their customers and plan their service accordingly (Rao & Palathil, 2020). Marketers need to decide upon the type of digital marketing strategies to be used carefully.…”

Section: Review Of Literaturementioning

confidence: 99%

Impact of Digital Marketing on Consumer Behavior towards Edtech Startups

2023

IJFMR

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The rapid growth of digital technology has led to significant transformations in the education industry, with the emergence of edtech startups at the forefront of this revolution. This research paper aimed at investigating the relationship between digital marketing and consumer behavior towards edtech startups and examining the extent to which digital marketing strategies shapes consumer perceptions, attitudes, and actions. The research addressed the following objectives: (1) to examine the extent of consumer awareness and perception of edtech startups, including their offerings, features, channels adopted, and benefits as influenced by digital marketing strategies, (2) to identify and analyze the relationship between various factors influencing the consumers to engage with edtech startups, and (3) to assess the impact of digital marketing on consumer behavior and engagement with edtech startups, including the relationship between the level of satisfaction, trust and recommendation. Statistical analysis techniques, including correlation analysis and content analysis were used to explore the relationships between factors, exposure to digital marketing and various dimensions of consumer behavior such as awareness, attitudes, engagement, trust, and satisfaction.

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Section: Review Of Literaturementioning

confidence: 99%

Impact of Digital Marketing on Consumer Behavior towards Edtech Startups

2023

IJFMR

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“…Thus, linguistic element (POS) plans are important to eliminate willful words. Linguistic structure naming is "the most well-known approach to arranging a word in the text to its relating tag" (Rao & Palathil, 2020). The essential purpose in doing POS marking is that descriptors and action word modifiers would be strong characteristics of the evaluation of the review, so they help to perform appraisal mining that the most used appraisal words are descriptors and intensifiers (Ezechukwu, 2022).…”

Section: B Sentiment Analysis Modulementioning

confidence: 99%

Enhancing the Performance of Educational Systems using Efficient Opinion Mining Techniques

Mohamed

AbdelGaber

Abd-Ellatif

2022

JEELR

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Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective of our article is to enhance educational systems through the analysis of student comments, teacher comments and course comments. Furthermore, the proposed model uses a bundling task to make groups of packs for students from its comments. The datasets were 10,000 instances, 80% of which were for training and 20% for testing. The results showed that K-Means Algorithm had the best accuracy time /Sec of 0.03. The correctly classified 8,000 instances were equal to 96%, and incorrectly classified 2,000 instances were equal to 4%, Accuracy of the model is 95%, Recall is 94.8% and F-Measure is 93.7% between others algorithms. clustering and Association Rule Mining phases Algorithms namely Chi-Square test is good quality than Others Algorithms.

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