دورية أكاديمية
Text Sentiment Analysis Based on Fusion of Attention Mechanism and BiGRU
العنوان: | Text Sentiment Analysis Based on Fusion of Attention Mechanism and BiGRU |
---|---|
المؤلفون: | YANG Qing, ZHANG Ya-wen, ZHU Li, WU Tao |
المصدر: | Jisuanji kexue, Vol 48, Iss 11, Pp 307-311 (2021) |
بيانات النشر: | Editorial office of Computer Science, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Computer software LCC:Technology (General) |
مصطلحات موضوعية: | attention mechanism, gru, glove word vector, emotion analysis, Computer software, QA76.75-76.765, Technology (General), T1-995 |
الوصف: | Aiming at the lack of the ability of simple neural networks to capture the contextual semantics of texts and extract important information in texts,a sentiment analysis model FFA-BiAGRU is proposed,which integrates attention mechanism and GRU.First,we pre-process the text and vectorize the words through GloVe to reduce the vector space dimension.Then,through a hybrid model that fuses the attention mechanism with the update gate of the gating unit,it can extract important information in the text features.Finally,the text features are further extracted through the forced forward attention mechanism,and then classified by the softmax classifier.Experiments on public data sets show that the algorithm can effectively improve the sentiment ana-lysis performance. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Chinese |
تدمد: | 1002-137X |
Relation: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-11-307.pdf; https://doaj.org/toc/1002-137X |
DOI: | 10.11896/jsjkx.201000075 |
URL الوصول: | https://doaj.org/article/57227bd9aa784b19ae135d56c3138029 |
رقم الأكسشن: | edsdoj.57227bd9aa784b19ae135d56c3138029 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 1002137X |
---|---|
DOI: | 10.11896/jsjkx.201000075 |