Comparative Analysis of Sentiment Analysis on Social Media

For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work.

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Enhanced Text Mining Methodology in Social Media Platform

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l3716.1081219 ◽

2019 ◽

Vol 8 (12) ◽

pp. 4857-4861

Keyword(s):

Sentiment Analysis ◽

Future Research ◽

Huge Number ◽

Emotional Information ◽

Web Based ◽

Media Platform ◽

Negative Implication ◽

Number Of Individuals ◽

Everyday Communication ◽

Information Requests

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Forecasting Oil Price Using Web-based Sentiment Analysis

Energies ◽

10.3390/en12224291 ◽

2019 ◽

Vol 12 (22) ◽

pp. 4291 ◽

Cited By ~ 2

Author(s):

Lu-Tao Zhao ◽

Guan-Rong Zeng ◽

Wen-Jing Wang ◽

Zhi-Gang Zhang

Keyword(s):

Sentiment Analysis ◽

Mean Squared Error ◽

Oil Price ◽

Future Research ◽

Price Forecasting ◽

Web Based ◽

Market Sentiment ◽

Root Mean Squared Error ◽

Strong Intensity ◽

Squared Error

International oil price forecasting is a complex and important issue in the research area of energy economy. In this paper, a new model based on web-based sentiment analysis is proposed. For the oil market, sentiment analysis is used to extract key information from web texts from the four perspectives of: compound, negative, neutral, and positive sentiment. These are constructed as feature and input into oil price forecasting models with oil price itself. Finally, we analyze the effect in various views and get some interesting discoveries. The results show that the root mean squared error can be reduced by about 0.2 and the error variance by 0.2, which means that the accuracy and stability are thereby improved. Furthermore, we find that different types of sentiments can all improve performance but by similar amounts. Last but not least, text with strong intensity can better support oil price forecasting than weaker text, for which the root mean squared error can be reduced by up to 0.5, and the number of the bad cases is reduced by 20%, indicating that text with strong intensity can correct the original oil price forecast. We believe that our research will play a strong supporting role in future research on using web information for oil price forecasting.

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The Differential Risk Factors of Physically Forced and Alcohol- or Other Drug-Enabled Sexual Assault Among University Women

Violence and Victims ◽

10.1891/0886-6708.24.3.302 ◽

2009 ◽

Vol 24 (3) ◽

pp. 302-321 ◽

Cited By ~ 57

Author(s):

Christopher P. Krebs ◽

Christine H. Lindquist ◽

Tara D. Warner ◽

Bonnie S. Fisher ◽

Sandra L. Martin

Keyword(s):

High Risk ◽

Sexual Assault ◽

Future Research ◽

Web Based ◽

Campus Sexual Assault ◽

University Women ◽

Undergraduate Women ◽

Reported Data ◽

Lifestyle Activities ◽

Very High

The Campus Sexual Assault Study examined whether undergraduate women’s victimization experiences prior to college and lifestyle activities during college were differentially associated with the type of sexual assault they experienced: physically forced sexual assault and incapacitated sexual assault. Self-reported data collected using a Web-based survey administered to more than 5,000 undergraduate women at two large public universities indicated that victimization experiences before college were differentially associated with the risk of experiencing these two types of sexual assault during college. Women who experienced forced sexual assault before college were at very high risk of experiencing forced sexual assault during college (odds ratio [OR] = 6.6). Women who experienced incapacitated sexual assault before college were also at very high risk of experiencing incapacitated sexual assault during college (OR = 3.7). Moreover, women’s substance use behaviors during college, including getting drunk and using marijuana, were strongly associated with experiencing incapacitated sexual assault but were not associated with experiencing forced sexual assault. Implications for education and prevention programs, as well as future research directions, are discussed.

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Investigation and Implementation of a Web-Based CAD System for Fabric Appearance

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.129-131.645 ◽

2010 ◽

Vol 129-131 ◽

pp. 645-647

Author(s):

Fan Lei Yan ◽

Lian He Yang ◽

Hai Feng Chang

Keyword(s):

Data Exchange ◽

3D Model ◽

Texture Mapping ◽

Future Research ◽

Web Browser ◽

Research Directions ◽

Web Based ◽

Cad System ◽

Key Technologies ◽

Future Research Directions

The area of web-based CAD system has grown since the mid-1990s. This paper introduces a new web-based CAD system for fabric appearance. The system uses the Browser/Server structure, and the designer can employ this system installed on the server to build a 3D model of fabric appearance through the Web browser. The basic architecture is discussed in this paper. Some key technologies, such as graphics display, texture mapping and the data exchange, are also investigated. In the last, some future research directions are presented.

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Investigating Chinese University Students’ Enjoyment in a Web-Based Language Learning Environment: Validation of the Online Foreign Language Enjoyment Scale

Perceptual and Motor Skills ◽

10.1177/00315125211041714 ◽

2021 ◽

pp. 003151252110417

Author(s):

Xin Wang ◽

Yang Wang ◽

Yizhi Yang ◽

Lu Wang

Keyword(s):

Factor Analysis ◽

Learning Environment ◽

Foreign Language ◽

Language Learning ◽

First Language ◽

Pedagogical Practices ◽

Future Research ◽

Web Based ◽

Chinese University ◽

Confirmatory Factor

The revolution in web-based technologies has enriched pedagogical practices and motivated scholars to address learners’ positive and negative emotions in the web-based language learning environment. In this study, we first examined the psychometric properties of the Foreign Language Enjoyment Scale (FLES) and then developed the Online Foreign Language Enjoyment Scale (OFLES). We adopted a mixed-method approach using a sample of 383 first language Chinese EFL undergraduates. In stage one of the research, exploratory factor analysis and confirmatory factor analysis supported an 11-item and 4-factor OFLES structure with an ideal model fit. The four sub-domains of the new enjoyment construct were OFLES- Teacher, Private, Interaction, and Competence. The Teacher domain accounted for most variance. In stage two, the qualitative analyses of feedback on an open-ended question concerning enjoyable episodes from 56 of the 383 participants revealed various sources of enjoyment for Chinese university EFL learners attending online English courses. Our findings contribute to an emerging wave of research examining the cross-contextual application of the FLES and provide important pedagogical implications for L2 practitioners and researchers. We discuss suggestions for future research.

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An experimental investigation of the impact of using big data analytics on customers’ performance measurement

Accounting Research Journal ◽

10.1108/arj-04-2020-0080 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Marwa Rabe Mohamed Elkmash ◽

Magdy Gamal Abdel-Kader ◽

Bassant Badr El Din

Keyword(s):

Big Data ◽

Performance Measurement ◽

Data Analytics ◽

Positive Impact ◽

Big Data Analytics ◽

Unstructured Data ◽

Future Research ◽

Web Based ◽

Content Type ◽

The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

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Comparison of a web-based food record tool and a food-frequency questionnaire and objective validation using the doubly labelled water technique in a Swedish middle-aged population

Journal of Nutritional Science ◽

10.1017/jns.2016.29 ◽

2016 ◽

Vol 5 ◽

Cited By ~ 25

Author(s):

Sanna Nybacka ◽

Heléne Bertéus Forslund ◽

Elisabet Wirfält ◽

Ingrid Larsson ◽

Ulrika Ericson ◽

...

Keyword(s):

Energy Intake ◽

Large Scale ◽

Dietary Assessment ◽

Assessment Tools ◽

Future Research ◽

Food Record ◽

Frequency Method ◽

Doubly Labelled Water ◽

Web Based ◽

Food Frequency

AbstractTwo web-based dietary assessment tools have been developed for use in large-scale studies: the Riksmaten method (4-d food record) and MiniMeal-Q (food-frequency method). The aim of the present study was to examine the ability of these methods to capture energy intake against objectively measured total energy expenditure (TEE) with the doubly labelled water technique (TEEDLW), and to compare reported energy and macronutrient intake. This study was conducted within the pilot study of the Swedish CArdioPulmonary bioImage Study (SCAPIS), which included 1111 randomly selected men and women aged 50–64 years from the Gothenburg general population. Of these, 200 were enrolled in the SCAPIS diet substudy. TEEDLW was measured in a subsample (n 40). Compared with TEEDLW, both methods underestimated energy intake: −2·5 (sd 2·9) MJ with the Riksmaten method; −2·3 (sd 3·6) MJ with MiniMeal-Q. Mean reporting accuracy was 80 and 82 %, respectively. The correlation between reported energy intake and TEEDLW was r 0·4 for the Riksmaten method (P < 0·05) and r 0·28 (non-significant) for MiniMeal-Q. Women reported similar average intake of energy and macronutrients in both methods whereas men reported higher intakes with the Riksmaten method. Energy-adjusted correlations ranged from 0·14 (polyunsaturated fat) to 0·77 (alcohol). Bland–Altman plots showed acceptable agreement for energy and energy-adjusted protein and carbohydrate intake, whereas the agreement for fat intake was poorer. According to energy intake data, both methods displayed similar precision on energy intake reporting. However, MiniMeal-Q was less successful in ranking individuals than the Riksmaten method. The development of methods to achieve limited under-reporting is a major challenge for future research.

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Analysis and Design of Sales Information System on Web-Based E-Commerce in Yoga Farm Catfish Breeding Business Using UML

JURNAL MEDIA INFORMATIKA BUDIDARMA ◽

10.30865/mib.v4i3.2106 ◽

2020 ◽

Vol 4 (3) ◽

pp. 683

Author(s):

Muhamad Ridho Dwi Cahyo ◽

Candiwan Candiwan

Keyword(s):

Information System ◽

Business Processes ◽

Product Information ◽

Small And Medium Enterprises ◽

Unified Modeling Language ◽

Future Research ◽

Web Based ◽

Unified Modeling ◽

Analysis And Design ◽

Medium Enterprises

Yoga Farm is a Micro, Small, and Medium Enterprises (MSME) that focuses on catfish breeding that is still doing business processes manually. With this process, information received by related parties is very difficult to obtain quickly. Therefore, the product is still not widely known, and customers are still few because the system used in sales and promotions still uses a manual system. The research method used is qualitative. This study aims to create a sales information system recommended at Yoga Farm and design using Unified modeling language (UML) for the recommended business processes. Customers will get product information in real-time, products can be widely recognized, and the number of Yoga Farm customers can increase. Based on the results of this study, adoption of a web-based sales information system can certainly make it easier to get the latest information quickly, can expand the market and can also facilitate customers in the transaction. For future research, this research can be used as a reference for conducting similar studies at other MSMEs to increase sales

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Textual Analysis and Sentiment Analysis in Accounting

Revista de Contabilidad ◽

10.6018/rcsar.386541 ◽

2021 ◽

Vol 24 (2) ◽

pp. 168-183

Author(s):

Juan L. Gandía ◽

David Huguet

Keyword(s):

Sentiment Analysis ◽

Textual Analysis ◽

Financial Information ◽

Digital Tools ◽

Future Research ◽

Analysis Techniques ◽

Additional Information ◽

New Perspective ◽

Medios De Comunicacion

A pesar del relativamente escaso uso de técnicas de análisis textual y de análisis del sentimiento en finanzas y contabilidad, éstas tienen un gran potencial en contabilidad, tanto por el elevado volumen de documentos utilizados para la comunicación de información financiera como por el crecimiento en el uso de herramientas digitales y medios de comunicación social. En este sentido, estas técnicas de análisis pueden ayudar a los investigadores a analizar pistas ocultas o buscar información adicional a la observada a través de los estados financieros, incrementando la cantidad y calidad de la información tradicionalmente utilizada, y proporcionando una nueva perspectiva de análisis. Por ello, el objetivo de este estudio es realizar una revisión del uso del análisis textual y del análisis del sentimiento en contabilidad. Tras presentar los conceptos de análisis textual y análisis del sentimiento y justificar teóricamente su papel en la investigación en contabilidad, llevamos a cabo una revisión de la literatura previa en el uso de estas técnicas en finanzas y contabilidad y describimos las principales técnicas de análisis del sentimiento, así como el procedimiento a seguir para el uso de esta metodología. Finalmente, sugerimos tres líneas de investigación futura que pueden beneficiarse del uso del análisis textual y del análisis del sentimiento. In spite of the relatively scarce use of textual analysis and sentiment analysis techniques in finance and accounting, they have great potential in accounting, both because of the volume of documents used for the communication of information and due to the growth in the use of digital tools and social media. In that regard, these techniques of analysis may help researchers to analyse hidden clues or look for additional information to that one observed through financial information, increasing the quantity and quality of the information traditionally used, and providing a new perspective of analysis. The aim of this study is to review the use of textual analysis and sentiment analysis in accounting. After presenting the concepts of textual analysis and sentiment analysis and expose their interest in accounting, we perform a review of the previous literature on the use of these techniques in finance and accounting and describe the main techniques of sentiment analysis, as well as the procedure to be followed for the use of this methodology. Finally, we suggest three lines of future research that may benefit from the use of textual and sentiment analysis.

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The Influence of YouTube Beauty Vloggers on Indonesian Consumers’ Purchase Intention of Local Cosmetic Products

International Journal of Business and Management ◽

10.5539/ijbm.v15n5p100 ◽

2020 ◽

Vol 15 (5) ◽

pp. 100

Author(s):

Jui-Lung Chen ◽

Apritika Dermawan

Keyword(s):

Social Media ◽

Information Exchange ◽

Purchase Intention ◽

Future Research ◽

Web Based ◽

Practical Applications ◽

Mainstream Media ◽

Marketing Tool ◽

Willingness To Purchase ◽

The Impact

Social media are web-based technology and social platform that involve social, personal and technological factors, which have triggered the development and evolution of website-based communities. Moreover, relevant web-based applications have also become the mainstream media for value creation and information exchange. The proliferation, convenience, and immediacy of social media have attracted many enterprises to adopt social media as a marketing tool. Among them, Electronic Word-of-Mouth (E-WoM), used mostly by vloggers (video bloggers), enables its users to review products and express their opinions on social media. Therefore, E-WoM has gradually become an important source of information for consumers, which influences their purchasing decisions. YouTube, a video sharing platform affiliated with Google, is a popular social media with tons of users. One of its most appealing and popular communities is Beauty Blogger, where beauty vloggers create and upload videos about beauty products. This study explored the impact of YouTube beauty vlogger on the attitude of Indonesian women towards locally made cosmetics and their willingness to purchase them. Based on the research results, relevant conclusions and recommendations were proposed which can be used as a reference for future research and practical applications.

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