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  • Open Access

    ARTICLE

    Emotional Analysis of Arabic Saudi Dialect Tweets Using a Supervised Learning Approach

    Abeer A. AlFutamani, Heyam H. Al-Baity*

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 89-109, 2021, DOI:10.32604/iasc.2021.016555 - 12 May 2021

    Abstract Social media sites produce a large amount of data and offer a highly competitive advantage for companies when they can benefit from and address data, as data provides a deeper understanding of clients and their needs. This understanding of clients helps in effectively making the correct decisions within the company, based on data obtained from social media websites. Thus, sentiment analysis has become a key tool for understanding that data. Sentiment analysis is a research area that focuses on analyzing people’s emotions and opinions to identify the polarity (e.g., positive or negative) of a given… More >

  • Open Access

    ARTICLE

    miR-122 Inhibits Hepatocarcinoma Cell Progression by Targeting LMNB2

    Xiao-Na L*i, Hong Yang, Tao Yang

    Oncology Research, Vol.28, No.1, pp. 41-49, 2020, DOI:10.3727/096504019X15615433287579

    Abstract In the present study, we investigated the role of miR-122 in hepatocarcinoma progression and explored the mechanism. In hepatocarcinoma tissues and cells, we used qRT-PCR to validate the miR-122 expression level. Next, we used colony formation by crystal violet staining assay to compare cell proliferation ability, and we used scratch test or Transwell assay to compare cell migration or invasion ability. We then conducted bioinformatics or luciferase reporter gene assay to prove the regulation effect of miR-122 on lamin B2 (LMNB2), and the biological function of LMNB2 was analyzed. We used nude mouse tumorigenicity assay… More >

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