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Web-based Sentiment Analysis System Using SVM and TF-IDF with Statistical Feature

Social media's tendency for instant reactions can be harnessed by companies and organizations to gather feedback. Nevertheless, effectively analyzing vast amounts of social media data poses a challenge. This issue can be addressed through the use of sentiment analysis technology. In this study, a sentiment analysis model is developed, employing Support Vector Machine (SVM) and Term Frequency-Inverse Document Frequency (TF-IDF) algorithms. The study aims to investigate the impact of feature en...

Customer Shopping Behavior Analysis Using RFID and Machine Learning Models

Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer–customer relationship and increasing business revenue. However, it can be challenging to gather data on customer browsing activities in physical stores as compared to online stores. This study suggests using RFID technology on store shelves and machine learning models to analyze customer browsing activity in retail stores. The study uses RFID tags to track product movement and collects data on customer...

Hate Speech Detection in Bahasa Indonesia: Challenges and Opportunities

This study aims to provide an overview of the current research on detecting abusive language in Indonesian social media. The study examines existing datasets, methods, and challenges and opportunities in this field. The research found that most existing datasets for detecting abusive language were col-lected from social media platforms such as Twitter, Facebook, and Instagram, with Twitter being the most commonly used source. The study also found that hate speech is the most researched type o...

EGF and IGF1 affect sunitinib activity in BP-NEN: New putative targets beyond VEGFR?

Broncho-pulmonary neuroendocrine neoplasms (BP-NENs) are neoplasms orphan of an efficient therapy. Available medical treatments derived from clinical trials are not specific for the management of this malignancy. Sunitinib is a multi-receptor tyrosine-kinases (RTKs) inhibitor that has already shown its efficacy in NENs, but there are no available data about its action in BP-NENs. Therefore, our aim was to understand the effects of RTKs inhibition promoted by sunitinib in order to evaluate new...

Boundary scattering in massless AdS3

We study the boundary integrability problem of the massless sector of AdS3 × S3 × T4 string theory. Exploiting the difference-form of the massless scattering theory, we find a very simple and exhaustive list of reflection matrices for all the possible boundary coideal subalgebras — singlet and vector representations, right and left boundary — and check basic properties of our solutions, primarily the boundary Yang-Baxter equation, for all possible combinations of scattering particles.

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Pubblicazioni: [127837] Home page macrotipologia

Prodotti recenti

Web-based Sentiment Analysis System Using SVM and TF-IDF with Statistical Feature

Customer Shopping Behavior Analysis Using RFID and Machine Learning Models

Hate Speech Detection in Bahasa Indonesia: Challenges and Opportunities

EGF and IGF1 affect sunitinib activity in BP-NEN: New putative targets beyond VEGFR?

Boundary scattering in massless AdS3

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