J. Commun. An analysis on the effect of new teacher- students relationship in university inter active teaching. On social media, in forums, news articles, online reviews, and more. Want a customized view of how sentiment analysis can work for your business data? Based on fuzzy BNs and fuzzy weighting methods, this paper improves the fuzzy BN. Online teaching satisfaction is closely related to students learning ability, teachers comprehensive quality, the network environment and hardware equipment, etc. Part-of- speech tagging is useful for identifying adjectives and adverbs in the sentences which identify the opinion words and nouns which are used to identify features of the products. Lang. World Wide Web 17, 723742 (2014), Tsai, A.C.: Building a Concept-Level Sentiment on Commonsense Knowledge, pp. 1P.G. The result is consistent with the actual satisfaction rating of online teaching. 4, 101107. Audio Vis. Sentiment analysis enables you to determine how your product performs in the market and what else is needed to improve your sales. These features include uni-grams or n-grams and their frequency or presence. Most of the researchers reported that Support Vector Machines (SVM) has high accuracy than other algorithms, but it also has limitations. A brand is not defined by the product it manufactures. Ain Shams Eng. Mntyl, M., Graziotin, D., & Kuutila, M. (2018). Expanding the Study of Social Media The present study used hashtag searches (e.g., #siteconf, #edu14) to perform sentiment analysis on the conversations conference-goers have about educational technology conferences. This . J. ICT Res. [7] proposed weakness finder system which can help manufacturers nd their product weakness from Chinese reviews by using aspects based sentiment analysis. 1135. Negation is also an important feature to take into account since it has the potential of reversing a sentiment [11]. Proceedings of the International Conference on Web Intelligence and Intelligent Agent Technology, 2010, pp.243-248. It can be created by starting with some seed words and then using some linguistic heuristics to add more words to them, or starting with some seed words and adding to these seed words other words based on frequency in a text. Am. 629, pp. Brands are now a sum of the conversations about them. (2017). Received: 09 July 2021; Accepted: 20 September 2021;Published: 18 October 2021. Therefore, online teaching satisfaction is evaluated from the aspects of emotion analysis, learning investment, and teaching interaction. While this content meant to be helpful, bulk of this user generated content require the use of automated techniques for mining and analyzing because manual analysis are difficult for such a huge content. Int. Foundations and Trends in Information Retrieval, 2(12), 1135. Karen Mite-Baidal . The contextual analysis of identifying information helps businesses understand their customers social sentiment by monitoring online conversations. Keywords: sentiment analysis, online teaching, satisfaction evaluation, fuzzy Bayesian theory, evaluation index system of online teaching, Citation: Zhang J (2021) Research on Sentiment Analysis and Satisfaction Evaluation of Online Teaching in Universities During Epidemic Prevention. 27, 4854, 75. Find out whos receiving positive mentions among your competitors, and how your marketing efforts compare. This real-time information helps them to design new marketing strategies, improve product features and can predict chances of product failure. Liu, B. Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. International Journal of Emerging Technologies in Learning (IJET), 9(6), 37. https://doi.org/10.3991/ijet.v9i6.4110. https://doi.org/10.1007/978-3-319-11298-5_5, Rana, T.A., Cheah, Y., Letchmunan, S.: Topic modeling in sentiment analysis: a systematic review. Therefore, analyze customer support interactions to make sure that your employees are following the appropriate process. The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. At the same time, in the investigation and research of this paper, the satisfaction of some college students in Jiangsu Province with regard to online teaching during the epidemic period is also counted. Sci. ), The SAGE handbook of social media research methods (pp. The objective of this paper is to discover the concept of Sentiment Analysis in the field of Natural Language Processing and explore its applications and challenges in this field. (2021). 185189. https://doi.org/10.1007/978-3-030-00940-3_21, DOI: https://doi.org/10.1007/978-3-030-00940-3_21, eBook Packages: Computer ScienceComputer Science (R0). The entity can represent individuals, events or topics. In the context of online teaching, the selection of teaching content needs to be informed by science, especially in ensuring that the presentation form of the content is suitable for the online teaching mode. 519 528. Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. Combine and evaluate all of your customer feedback from the web, customer surveys, chats, call centers, and emails. G. Gebremeskel, Sentiment Analysis of Twitter Posts about News, Masters Thesis, University of Malta, May 2011. http://proudtobeindian.net/indian-media-exposed. 2017, 9 (2017), Luna-Aveiga, H., et al. Comput. Students independent learning ability is required to be higher with online teaching. Educ. Sentiment analysis in higher education: a systematic - IOPscience In addition, students independent ability would be constantly cultivated through lively classroom interaction. The 9-degree evaluation method evaluates m basic-level indexes in combination with the opinions of n experts to produce a weighted score. Chinas Ministry of Education had encouraged schools at all levels to make use of various online platforms to conduct online teaching. Pang, B., & Lee, L. (2008). In: Proceedings of the 3rd International Conference on Learning Analytics and Knowledge, pp. (2) A clear study plan. However, Pang et al. No use, distribution or reproduction is permitted which does not comply with these terms. It means analyzing the reviews and feedback of the customers. Scholars have achieved a lot of research results on sentiment analysis and the satisfaction of online teaching. London: Sage. Keeping the feedback of the customer in knowledge, you can develop more appealing branding techniques and marketing strategies that can help make quick transitions. 35, 399433 (2009), Romero, C., Ventura, S.: Data mining in education. Written informed consent to participate in this study was provided by the participants. The process includes gathering data, preprocessing textual data to extract opinionated data, and then classifying the data into positive, neutral, or negative sentiments (Liu 2012; Thelwall 2016). This section discusses some of the common ones. Teachers can discuss with students with the help of cloud class, nail, learning pass, etc., after online class. Students can see the teacher, but the teacher cant see all the students at once. Linguist. They should arrange learning time reasonably and strive to improve their learning efficiency. Use sentiment analysis to to evaluate employee surveys or analyze Glassdoor reviews, emails, Slack messages, and more.. J. Sci. The top-level index T of online teaching satisfaction is determined, and then the influencing factors are extended and analyzed from the three levels including the learning quality A, the teaching quality B, and the platform management C, respectively. Google Scholar, Zhang, H.: The optimality of Naive Bayes. : Emotional intelligence: new ability or eclectic traits? Sentiment analysis, also known as opinion mining [ 1 ], is an area of information processing that has been successfully applied in domains such as medicine. Also, remember that getting a positive response to your product is not always enough. Now business organizations and academics are putting forward their efforts to find the best system for sentiment analysis. Sentiment Prediction is about predicting the polarity of text whether it is positive or negative. Using the method of fuzzy empowerment, the probability values of the top indices are accurately computed by combining them with fuzzy Bayesian theory. Brand monitoring is one of the most popular applications of sentiment analysis in business. Keeping track of customer comments allows you to engage with customers in real time. A lot of these sentiment analysis applications are already up and running. Business intelligence is all about staying dynamic. G. Li, and F. Liu, "A Clustering-Based Approach on Sentiment Analysis," IEEE International Conference on Intelligent System and Knowledge Engineering, Hangzhou, China, vol. Sarcastic or ironic sentences can be hard to identify which can lead to erroneous opinion mining. In addition, there are many differences in the teaching platform, network environment, and teaching methods. Participatory teaching is good for improving students initiative and interest in learning. Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in Normal Univ. Eng. So far, however, there has been little discussion about comprehensive literature reviews in SA in education. In: IEEE Global Engineering Education Conference Learning Environment Ecosystem for Engineering Education, pp. Communications in Computer and Information Science, vol 883. All with sentiment analysis. Customer support management presents many challenges due to the sheer number of requests, varied topics, and diverse branches within a company not to mention the urgency of any given request. Their satisfaction with online teaching is affected by these problems. Sci. It is an important index to measure the satisfaction of online teaching. Elsevier B.V., New York City (2015), Medhat, W., Hassan, A., Korashy, H.: Sentiment analysis algorithms and applications: a survey. Therefore, the service providers focus more on the urgent calls to resolve users issues and thereby maintain their brand value. Appl. A BN combines a directed acyclic graph and probability theory organically and has strong bi-directional reasoning ability. Eng. Sentiment analysis pays attention to the overall feelings or attitudes present in the text rather than the content of the topic that the text is written about. Methods Med. Now, one-to-many conversations are taking place online at a high rate. Only 47% of the students are satisfied with their self-learning planning. You can automatically process customer support tickets, online chats, phone calls, and emails by sentiment to prioritize any urgent issues. International Conference on Technologies and Innovation, CITI 2018: Technologies and Innovation In May 2023, Frontiers adopted a new reporting platform to be Counter 5 compliant, in line with industry standards. After calculation, the probability value of the top-level index T of online teaching satisfaction is 0.8205, which belongs to the degree of satisfied. However, there are still defects and deficiencies in online teaching. Comput. There are insufficient boundaries between work and home for teachers. For each basic-level index obtained, the score and the evaluation matrix are shown in Equation 1: In Equation 1, dij is the evaluation of the ith index by the jth expert. The Virginia Index of Consumer Expectations (VA ICE) is 78.2, up 6.0 points since last quarter and almost 23 points above the national number of 55.4. Applications of Sentiment Analysis - DataScienceCentral.com Med. This new research domain is usually called Sentiment Analysis or Opinion Mining. Sentiment prediction can be done at the document level, sentence level and phrase level. The scientific design of online teaching will enable students to feel the beauty of science and emotion so that online teaching of science can become an art and a kind of enjoyment, and online teaching can become a new teaching method that complements offline teaching. Zhang et al. P(Ni = 1) represents the prior probability value of the corresponding basic-level level index as Wi, while P(Ni = 0) represents the prior probability value of the corresponding basic-level level index as 1- Wi. 141152. Res. Comput. China Sci. The term sentiment analysis, in the research field and this entry, refers to a process used to determine the sentiments (general feelings, attitudes, or opinions) of the writers expressed through text. Applying Sentiment analysis to mine the huge amount of data has become an important research problem. Balamurali, P. Bhattacharyya, and R. Mohanty, C-feel-it: a sentiment analyzer for microblogs, In Proceedings of ACL: Systems Demonstrations, HLT 11, 2011, pp. CITI 2018. The emotional connection between teachers and students will be further deepened, so that the satisfaction of online teaching is improved. Accessed 15 Feb 2014, Chen, X., Member, S., Vorvoreanu, M., Madhavan, K.: Mining social media data for understanding students learning experiences. These influencing factors all directly affect students knowledge mastery, so most students knowledge mastery is not high. - 123.31.41.38. Thelwall, M. (2016). This mode leads to a lack of good emotional communication with teachers, which reduces the investment and participation of students. (2020). Sentiment analysis can read beyond simple definition to detect sarcasm, read common chat acronyms (lol, rofl, etc. Guo, R. R., and Min, S. Q. Computer, 50(5), 3643. Part-of-speech is used to disambiguate sense which in turn is used to guide feature selection [11]. Automate business processes and save hours of manual data processing. For instance, if you are looking to invest in the automobile industry and are confused about choosing between company X and company Y, you can look at the sentiments received from the company for their latest products. The two expressions SA or OM are interchangeable. What does "It" refer to? 127132. The next step in the NPS survey is to ask survey participants to leave the score and seek open-ended responses, i.e., qualitative data. Springer, Cham. (2) Students have high satisfaction with teachers teaching attitudes. Dave et al. Websites allows their users to submit their experience about shopping and product qualities. Applications and Challenges for Sentiment Analysis : A Survey For example, if you come up with a big idea, you can test and analyze it before bringing life to it. https://doi.org/10.1016/j.cosrev.2017.10.002. In: Proceedings of 8th International Conference on Educational Data Mining Society, ERIC, pp. Previous analyses of the National Study of the Learning Mindset (Yeager et al., 2019) showed that in a randomized controlled trial, high school students w In this approach the different relationships between features and components is analyzed for sentiment classification task. (4) Develop a new assessment mechanism. (3) Probability calculation of top-level indexes. B. Pang, L. Lee, and S. Vaithyanathan, Thumbs up? As mentioned earlier, the experience of the customers can either be positive, negative, or neutral. Springer, Cham (2014). Human Behav. Sci. Therefore, it is concluded that the degree of online teaching satisfaction at this university is satisfied. You can search keywords for a particular product feature (interface, UX, functionality) and use aspect-based sentiment analysis to find only the information you need. Online teaching assessment mechanisms are an important link in the evaluation of online teaching management. Facultad de Informtica, Universidad de Murcia, Murcia, Spain, Departamento de Filologa Moderna, Universidad de Castilla la Mancha, Ciudad Real, Ciudad Real, Spain, Universidad Agraria del Ecuador, Guayaquil, Ecuador, Mite-Baidal, K., Delgado-Vera, C., Sols-Avils, E., Espinoza, A.H., Ortiz-Zambrano, J., Varela-Tapia, E. (2018). In: Proceedings of the Educational Data Mining, pp. Semantic orientation applied to unsupervised classification of reviews, Proceedings of the Association for Computational Linguistics (ACL), 2002, pp. Follow this tutorial, below: Aspect Based Sentiment Summarization provides sentiment summary in the form of star ratings or scores of features. Presence or frequency of n-grams can be used. For example, start with positive and negative word lexicons, analyze the document for which sentiment need to find. Liu, L., and Yue, Y. W. (2019). Russian Public Appears to Be Souring on War Casualties, Analysis Shows Sentiment analysis enables you to quantify the perception of potential customers. Table 1. Analyzing social media and surveys, you can get key insights about how your business is doing right or wrong for your customers. 2737 (2014), Aliandu, P.: Sentiment analysis on Indonesian tweet. Some popular sentiment analysis applications include social media monitoring, customer support management, and analyzing customer feedback. Try out our sentiment analysis classifier to see how sentiment analysis could be used to sort thousands of customer support messages instantly by understanding words and phrases that contain negative opinions. Take a university as an example, the whole university plans to open a total of 2,464 online courses, selected as a typical representative of online teaching. Sentiment analysis is the automated process of analyzing text to determine the sentiment expressed (positive, negative or neutral). Sentiment analysis helps such websites by converting dissatisfied customers into promoters by analyzing this huge volume of opinions. If you don't have a CSV, you can use our sample dataset. Product Feature Extraction is a task that extracts the product features from its review. Computer Science Review, 27, 1632. an approach, the last paragraph of the review might be given more weight in the determination of the sentiment of the whole review. Teaching processes in which teachers create a harmonious teaching environment are advantageous to the students. Turn tweets, emails, documents, webpages and more into actionable data. 4653 (2013), Ortigosa, A., Martn, J.M., Carro, R.M. Based on the above research results, in order to improve online teaching satisfaction, the following suggestions are put forward. The evaluation index system of online teaching satisfaction is obtained, as shown in Table 1. Brand Reputation Management (BRM) is a product and company focused rather than customer. Furthermore, if the user is cheated by the provided opinion, he will never use the system again. Paper presented at SoTEL symposium. 2010 / 1, pp. 18 (2014), Neves-Silva, R., Watada, J., Phillips-Wren, G.E. What other people think has always been an important piece of information of us during the decision making process [11]. If term frequency considered the above statements would classify as negative due to more negative words in review. Heal. Sentiment analysis can be implemented using both supervised and unsupervised methods of classification. 12:738776. doi: 10.3389/fpsyg.2021.738776. In: Proceedings of the 5th KES International Conference on Intelligent Decision Technologies (KES-IDT 2013). In unsupervised technique, classification is done by comparing the features of a given text against word lexicons whose sentiment values are determined prior to their use. Satisfaction evaluation of online education platform of higher education in China. Ting-Chun Peng and Chia-Chun Shih [13] uses part-of-speech(POS) patterns for extracting the sentiment phrases of each review, they used unknown sentiment phrase as a query term and get top-N relevant phrases from a search engine.