Sentiment analysis of big data: methods, applications, and open challenges
The development of IoT technologies and the massive admiration and acceptance of social
media tools and applications, new doors of opportunity have been opened for using data …
media tools and applications, new doors of opportunity have been opened for using data …
A multidisciplinary perspective of big data in management research
J Sheng, J Amankwah-Amoah, X Wang - International Journal of …, 2017 - Elsevier
In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …
management. In spite of the mounting body of research on big data across the social …
A survey on classification techniques for opinion mining and sentiment analysis
F Hemmatian, MK Sohrabi - Artificial intelligence review, 2019 - Springer
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants
M Garg, G Dhiman - Neural Computing and Applications, 2021 - Springer
This paper presents a content-based image retrieval technique that focuses on extraction
and reduction in multiple features. To obtain multi-level decomposition of the image by …
and reduction in multiple features. To obtain multi-level decomposition of the image by …
Big data in the policy cycle: Policy decision making in the digital era
J Höchtl, P Parycek, R Schöllhammer - Journal of Organizational …, 2016 - Taylor & Francis
Although of high relevance to political science, the interaction between technological
change and political change in the era of Big Data remains somewhat of a neglected topic …
change and political change in the era of Big Data remains somewhat of a neglected topic …
[PDF][PDF] A survey of text mining in social media: Facebook and Twitter perspectives
Text mining has become one of the trendy fields that has been incorporated in several
research fields such as computational linguistics, Information Retrieval (IR) and data mining …
research fields such as computational linguistics, Information Retrieval (IR) and data mining …
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
Joint sentence and aspect-level sentiment analysis of product comments
Comments from social media platforms (such as YouTube) have become a valuable
resource for manufacturers to examine public opinion toward their products. Accordingly, we …
resource for manufacturers to examine public opinion toward their products. Accordingly, we …
Technology in the 21st century: New challenges and opportunities
J Sheng, J Amankwah-Amoah, X Wang - Technological Forecasting and …, 2019 - Elsevier
Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …
growing attention of both academics and practitioners, a lack of clarity persists about how …
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble
The exponential rise in social media via microblogging sites like Twitter has sparked
curiosity in sentiment analysis that exploits user feedback towards a targeted product or …
curiosity in sentiment analysis that exploits user feedback towards a targeted product or …