Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews
المؤلفون المشاركون
Feng, Jun
Gong, Cheng
Li, Xiaodong
Lau, Raymond Y. K.
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-12
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The dramatic increase in the use of smartphones has allowed people to comment on various products at any time.
The analysis of the sentiment of users’ product reviews largely depends on the quality of sentiment lexicons.
Thus, the generation of high-quality sentiment lexicons is a critical topic.
In this paper, we propose an automatic approach for constructing a domain-specific sentiment lexicon by considering the relationship between sentiment words and product features in mobile shopping reviews.
The approach first selects sentiment words and product features from original reviews and mines the relationship between them using an improved pointwise mutual information algorithm.
Second, sentiment words that are related to mobile shopping are clustered into categories to form sentiment dimensions.
At each sentiment dimension, each sentiment word can take the value of 0 or 1, where 1 indicates that the word belongs to a particular category whereas 0 indicates that it does not belong to that category.
The generated lexicon is evaluated by constructing a sentiment classification task using several product reviews written in both Chinese and English.
Two popular non-domain-specific sentiment lexicons as well as state-of-the-art machine-learning and deep-learning models are chosen as benchmarks, and the experimental results show that our sentiment lexicons outperform the benchmarks with statistically significant differences, thus proving the effectiveness of the proposed approach.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Feng, Jun& Gong, Cheng& Li, Xiaodong& Lau, Raymond Y. K.. 2018. Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216439
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Feng, Jun…[et al.]. Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216439
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Feng, Jun& Gong, Cheng& Li, Xiaodong& Lau, Raymond Y. K.. Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216439
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1216439
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر