Sentiment analysis of women’s sportswear brands review on e-commerce using long short-term memory / Nur Syahirah Jaafar
The sentiment analysis of women's sportswear brands on e-commerce platforms using long short-term memory (LSTM) networks is explored in this study. Evaluating sentiment towards brands is crucial for understanding consumer preferences and market trends. The study focuses on sentiment analysis as...
محفوظ في:
المؤلف الرئيسي: | Jaafar, Nur Syahirah |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2024
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/96276/1/96276.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Sentiment analysis on movie reviews by recurrent neural networks and long short-term memory
بواسطة: Abd. Saini, Mohamad Shahnizam
منشور في: (2018) -
Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
بواسطة: Jaafar, Aminah Najihah
منشور في: (2016) -
Customer-based brand equity of the sportswear market in Malaysia /
بواسطة: Emilia Rosemera Uzir
منشور في: (2010) -
Malay words and dialect identification using long short-term memory and convolutional neural networks on trained Mel frequency cepstral coefficient / Mohd Azman Hanif Sulaiman
بواسطة: Sulaiman, Mohd Azman Hanif
منشور في: (2022) -
Cardiovascular disease prediction using long short term memory with data augmentation /
بواسطة: Loo, Jian Hao
منشور في: (2023)