Hierarchical text interaction for rating prediction

Rating Prediction of Social Sentiment from Textual Review By Recognizing Contextual Polarity

Journal of Advances and Scholarly Researches in Allied Education ◽

10.29070/15/57054 ◽

2018 ◽

Vol 15 (2) ◽

pp. 700-705

Author(s):

Pravin Nimbalkar ◽

Komal Sonwalkar

Keyword(s):

Rating Prediction

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Movie Rating Prediction using Convolutional Neural Network based on Historical Values

International Journal of Emerging Trends in Engineering Research ◽

10.30534/ijeter/2020/109852020 ◽

2020 ◽

Vol 8 (5) ◽

pp. 2156-2164

Author(s):

Rudy Aditya Abarja

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Rating Prediction

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PREDIKSI PERINGKAT OBLIGASI SYARIAH DI INDONESIA

JURNAL ILMU MANAJEMEN ◽

10.21831/jim.v11i3.11780 ◽

2014 ◽

Vol 11 (3) ◽

pp. 1-15

Author(s):

Ike Arisanti ◽

Isti Fadah ◽

Novi Puspitasari

Keyword(s):

Profit Sharing ◽

Sample Collection ◽

Purposive Sampling ◽

Financial Factors ◽

Financial Factor ◽

Independent Variable ◽

Rating Prediction ◽

Collection Methods

This study purposes to analyze the influence of financial and non financial factors to prediction of the rating islamic bond in indonesia. The study used independent variable,that is financial factor (growth, size, profit sharing/fee, liquidity) and non financial factor ( secure and maturity) and dependent variable that is the rating of islamic bond. This study applied logistic regresion analysis with sample collection methods using purposive sampling. After selecting fixed criterias, there were 25 islamic bonds chosen with the numbers of 75 investigation from periods of 2010-2012. The result of this study showed that significantly effect the variable growth (X1) , size(X2), profit sharing/ fee (X3), liquidity (X4), secure (X5), maturity (X6) simultaneously to the rating prediction of islamic bond in indonesia. Partially, variable variables of growth (X1) , size (X2), profit sharing/ fee (X3) which referred not significant affecting to the rating prediction of islamic bond in indonesia. Meanwhile, variables of liquidity (X4), secure (X5), maturity ( X6) referred significant affecting to the rating prediction of islamic bond in indonesia.

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