A Deep Learning Approach for Sentiment Analysis Applied to Hotel's Reviews

被引：7

作者：

Ribeiro de Souza, Joana Gabriela ^{[1
]}

Oliveira, Alcione de Paiva ^{[1
]}

de Andrade, Guidson Coelho ^{[1
]}

Moreira, Alexandra ^{[1
]}

机构：

[1] Univ Fed Vicosa, BR-36570900 Vicosa, MG, Brazil

来源：

NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS (NLDB 2018) | 2018年 / 10859卷

关键词：

Sentiment analysis; Convolutional neural network Hotel's reviews;

D O I：

10.1007/978-3-319-91947-8_5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sentiment Analysis is an active area of research and has presented promising results. There are several approaches for modeling that are capable of performing classifications with good accuracy. However, there is no approach that performs well in all contexts, and the nature of the corpus used can exert a great influence. This paper describes a research that presents a convolutional neural network approach to the Sentiment Analysis Applied to Hotel's Reviews, and performs a comparison with models previously executed on the same corpus.

引用

页码：48 / 56

页数：9

共 50 条

[1] A HYBRID DEEP LEARNING APPROACH FOR SENTIMENT ANALYSIS IN PRODUCT REVIEWS
Kuang, Minghui
Safa, Ramin
Edalatpanah, Seyyed Ahmad
Keyser, Robert S.
[J]. FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING, 2023, 21 (03) : 479 - 500
[2] Deep learning-based application for multilevel sentiment analysis of Indonesian hotel reviews
Kusumaningrum, Retno
Nisa, Iffa Zainan
Jayanto, Rahmat
Nawangsari, Rizka Putri
Wibowo, Adi
[J]. HELIYON, 2023, 9 (06)
[3] A Deep Learning Approach for Sentiment Analysis of COVID-19 Reviews
Singh, Chetanpal
Imam, Tasadduq
Wibowo, Santoso
Grandhi, Srimannarayana
[J]. APPLIED SCIENCES-BASEL, 2022, 12 (08):
[4] Comparative Sentiment Analysis on a Set of Movie Reviews Using Deep Learning Approach
Chakraborty, Koyel
Bhattacharyya, Siddhartha
Bag, Rajib
Hassanien, Aboul Ella
[J]. INTERNATIONAL CONFERENCE ON ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS (AMLTA2018), 2018, 723 : 311 - 318
[5] Sentiment analysis from unstructured hotel reviews data in social network using deep learning techniques
Priya C.S.R.
Deepalakshmi P.
[J]. International Journal of Information Technology, 2023, 15 (7) : 3563 - 3574
[6] Sentiment Analysis of Consumer Reviews Using Deep Learning
Iqbal, Amjad
Amin, Rashid
Iqbal, Javed
Alroobaea, Roobaea
Binmahfoudh, Ahmed
Hussain, Mudassar
[J]. SUSTAINABILITY, 2022, 14 (17)
[7] Sentiment Analysis of Product Reviews using Deep Learning
Panthati, Jagadeesh
Bhaskar, Jasmine
Ranga, Tarun Kumar
Challa, Manish Reddy
[J]. 2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 2408 - 2414
[8] Sarcasm detection in hotel reviews: a multimodal deep learning approach
Liu, Yang
Chi, Maomao
Sun, Qiong
[J]. JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY, 2024, 15 (04) : 519 - 533
[9] Sentiment Analysis on the hotel reviews in the Kazakh language
Yergesh, Banu
Bekmanova, Gulmira
Sharipbay, Altynbek
[J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 790 - 794
[10] Evaluation of Hotel Performance with Sentiment Analysis by Deep Learning Techniques
Hameed, Rafeef A.
Abed, Wael J.
Sadiq, Ahmed T.
[J]. International Journal of Interactive Mobile Technologies, 2023, 17 (09) : 70 - 87

← 1 2 3 4 5 →