...). Design/methodology/approach We conducted topic modelling and sentiment analysis on a dataset of 446,285 tweets across the first four months after ChatGPT was launched. Findings Results showed that discussions about ChatGPT focused on basic functions and its use in technology, business, education...

... were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics...

... Publishing Limited Licensed re-use rights only Selfies Defamiliarisation Social media Sentiment analysis Emotions Tone analysis Visual cues Creativity Higher education Social media's rapid proliferation has fashioned the taking and sharing of selfies as ubiquitous (Grindstaff...

... By applying the techniques of content analysis, sentiment analysis and text mining the study aims to measure the average sentiments, top words and the trend of selected popular terms in the comments on uploaded news videos by the top five Hindi news channels over a period of one year. Findings Results...

... of sentiment analysis (SA) which results in approach tables with 1,318 tokens and avoid tables with 1,090 tokens. Using lexicon-based SA, the authors identify tokens relating to approach, avoid and mixed emotions. Findings The authors implemented the big data method of SA which results in approach tables...

... (AUC). Findings Experimental results suggest that FastText word embedding technique with BERT language model gives higher accuracy and helps to identify the sarcastic textual element correctly. Originality/value Sarcasm detection is a sub-task of sentiment analysis. To help in appropriate data...

... and Subbian, 2012) Hoda Daou can be contacted at: hd66@aub.edu.lb 02 12 2019 25 05 2020 22 07 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Social media Twitter Sentiment analysis Text mining Classification Machine...

... 2020 22 07 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Sentiment analysis Text mining Internet marketing Heuristic-systematic model Online critic reviews Online user reviews Critics and users differ in their motivations...

...Yasir Mehmood; Vimala Balakrishnan Purpose Research on sentiment analysis were mostly conducted on product and services, resulting in scarcity of studies focusing on social issues, which may require different mechanisms due to the nature of the issue itself. This paper aims to address this gap...

...Mike Thelwall; Eleanor-Rose Papas; Zena Nyakoojo; Liz Allen; Verena Weigert Purpose Peer reviewer evaluations of academic papers are known to be variable in content and overall judgements but are important academic publishing safeguards. This article introduces a sentiment analysis program...

... involved with sentiment lexicon and machine learning methods. However, the existing research has not yet reached a consensus on the optimal aspect sentiment analysis method. Due to the high efficiency and wide application range, our paper adopts a method based on sentiment lexicon to conduct aspect-level...

... is to argue that an asymmetric relationship between review content valence and numerical rating will depend on brand strength. Design/methodology/approach The authors have conducted a sentiment analysis via text mining, using self-developed computer programs to retrieve a data set from the TripAdvisor...

...Heng-Li Yang; August F.Y. Chao Purpose The purpose of this paper is to propose sentiment annotation at sentence level to reduce information overloading while reading product/service reviews in the internet. Design/methodology/approach The keyword-based sentiment analysis is applied...

... of machine learning for sentiment analysis. Design/methodology/approach This paper uses ratings-balanced sets of reviews of restaurants and hotels (3 sets) to train algorithms with and without gender selection. Findings Accuracy is higher on female-authored reviews than on male-authored reviews...

... Licensed re-use rights only Sentiment analysis Automatic question answering Review mining User survey Traditional methods such as questionnaire, observation, and face-to-face interviews have been widely employed for analyzing users’ attitudes towards services and products (Beiske, 2002...

...Mike Thelwall Purpose The purpose of this paper is to test if there are biases in lexical sentiment analysis accuracy between reviews authored by males and females. Design/methodology/approach This paper uses data sets of TripAdvisor reviews of hotels and restaurants in the UK written by UK...

... and sentiment analysis techniques to analyze online customer reviews related to various hotels through a case study. Design/methodology/approach This paper presents a tested approach of using natural language preprocessing, text mining, and sentiment analysis techniques to analyze online textual content...

... Social networking sites Social media Content analysis Sentiment analysis YouTube In recent years, online learning has become an integral part of high education (Kim et al., 2014). The main reason for such a phenomenon is that the online environment provides learners the flexibility...

... services/features. Moderate amount of reviews are collected for each place. But not all users give their views on the social media websites. It would be essential to collect responses from all the customers who avail different services at different places. Practical implications The sentiment analysis...

... of sentiment classification tests during the Irish general elections in February 2011. Ceron et al. (2013) used sentiment analysis of citizens’ tweets to forecast the outcome of elections. Twitter as a political campaigning tool has also been researched by Vergeer (2015) . Twitter as a political...