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  • Open Access

    REVIEW

    Analyzing Customer Reviews on Social Media via Applying Association Rule

    Nancy Awadallah Awad1,*, Amena Mahmoud2

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1519-1530, 2021, DOI:10.32604/cmc.2021.016974

    Abstract The rapid growth of the use of social media opens up new challenges and opportunities to analyze various aspects and patterns in communication. In-text mining, several techniques are available such as information clustering, extraction, summarization, classification. In this study, a text mining framework was presented which consists of 4 phases retrieving, processing, indexing, and mine association rule phase. It is applied by using the association rule mining technique to check the associated term with the Huawei P30 Pro phone. Customer reviews are extracted from many websites and Facebook groups, such as re-view.cnet.com, CNET. Facebook and amazon.com technology, where customers from… More >

  • Open Access

    ARTICLE

    Aspect-Based Sentiment Analysis for Polarity Estimation of Customer Reviews on Twitter

    Ameen Banjar1, Zohair Ahmed2, Ali Daud1, Rabeeh Ayaz Abbasi3, Hussain Dawood4,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2203-2225, 2021, DOI:10.32604/cmc.2021.014226

    Abstract Most consumers read online reviews written by different users before making purchase decisions, where each opinion expresses some sentiment. Therefore, sentiment analysis is currently a hot topic of research. In particular, aspect-based sentiment analysis concerns the exploration of emotions, opinions and facts that are expressed by people, usually in the form of polarity. It is crucial to consider polarity calculations and not simply categorize reviews as positive, negative, or neutral. Currently, the available lexicon-based method accuracy is affected by limited coverage. Several of the available polarity estimation techniques are too general and may not reflect the aspect/topic in question if… More >

  • Open Access

    ARTICLE

    Secure Information Access Strategy for a Virtual Data Centre

    Sivaranjani Balakrishnan1,∗, D. Surendran2,†

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 357-366, 2020, DOI:10.32604/csse.2020.35.357

    Abstract With the arrival of on-demand computing, data centre requirements are extensive, with fluid boundaries. Loaded Internet applications, service-oriented architectures, virtualization and security provisioning are the major operations of a data centre. Security is an absolute necessity of any network architecture, and the virtual IT data centre is no exception. At the boundary, security is focused on securing the terminals of the data centre from external threats and providing a secure gateway to the Internet. The paradigm shift towards a new computing environment makes communications more complicated for Infrastructure Providers (InP). This complexity includes the security of the data centre’s components… More >

  • Open Access

    ARTICLE

    IoT Based Approach in a Power System Network for Optimizing Distributed Generation Parameters

    P. Shanmugapriya1, J. Baskaran2, C. Nayanatara1,*, D. P. Kothari3

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 541-558, 2019, DOI:10.32604/cmes.2019.04074

    Abstract The objective of this paper is to provide a robust Virtual Power Plant (VPP) network collaborated with Internet of Things (IoT) which uses a conceptual model to integrate each device in the grid. Based on the functionality all the devices which are purely distributed within the grid are networked initially from residential units to substations and up to service data and demand centres. To ensure the trapping of the available power and the efficient transfer of Distributed Generation (DG) power to the grid Distribution Active Control (DAC) strategy is used. Synchronized optimization of DG parameter which includes DG size, location… More >

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