Multi-aspect oriented sentiment classification: prior knowledge topic modelling and ensemble learning classifier approach

N AlGhamdi, S Khatoon, M Alshamari - Applied Sciences, 2022 - mdpi.com
User-generated content on numerous sites is indicative of users' sentiment towards many
issues, from daily food intake to using new products. Amid the active usage of social …

Effects and Comparison of different Data pre-processing techniques and ML and deep learning models for sentiment analysis: SVM, KNN, PCA with SVM and CNN

S Hafeez, N Kathirisetty - 2022 First International Conference …, 2022 - ieeexplore.ieee.org
In this paper, we have discussed different data pre-processing techniques and different
machine learning and deep learning models which are used for sentiment analysis. The …

An attention based approach for sentiment analysis of food review dataset

MR Bhuiyan, MH Mahedi, N Hossain… - 2020 11th …, 2020 - ieeexplore.ieee.org
Sentiment Analysis is a technique related to text analysis and natural language processing
used to detect various types of insights or information from a portion of text. Over the past few …

Cuisine recommendation, classification and review analysis using supervised learning

A Pavate, A Chaudhary, P Nerurkar… - … on Convergence to …, 2020 - ieeexplore.ieee.org
To help in growth of businesses it is necessary to do detailed analysis about the customer
preferences as well as analysis of sales, products purchase and suggestions of right …

[PDF][PDF] Google Maps İşletme Yorumlarındaki Resimlerin Sınıflandırılması ve Analizi

D BİLGİN - ybsansiklopedi.com
Bu makalede evrişimli sinir ağları kullanılarak restoranlar için fotoğraflı yorum analizi yapımı
incelenmiştir. Çalışma yapılırken 100 adet restoranın fotoğraflı yorumları model eğitimi için …

[PDF][PDF] Restaurant Review Analysis using Natural Language Processing

P Kunekar, H Arya, A Dighekar, A Bagade, H Garud… - academia.edu
The most effective tool any restaurant can have is the capability to track the daily sales of
their food and beverage. Currently, recommendation systems plays an important role in both …