Senti‐eSystem : A sentiment‐based eSystem ‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
Tóm tắt
Từ khóa
Tài liệu tham khảo
Magesh G, 2017, Analyzing customer sentiments using machine learning techniques, Dent Tech, 8, 1829
Asghar MZ, 2019, Exploring deep neural networks for rumor detection, J Ambient Intell Humaniz Comput, 17, 1
NuruzzamanM HussainOK. A survey on chatbot implementation in customer service industry through deep neural networks. Paper presented at: Proceedings of the 2018 IEEE 15th International Conference on e‐Business Engineering (ICEBE);Xi'an China.
AhmadH ArifA KhattakAM HabibA AsgharMZ ShahB. Applying deep neural networks for predicting dark triad personality trait of online users. Paper presented at: Proceedings of the 2020 International Conference on Information Networking (ICOIN);2020; Barcelona Spain.
Ahmad S, 2019, Detection and classification of social media‐based extremist affiliations using sentiment analysis techniques, HCIS, 9, 24
GuzmanE MaalejW. How do users like this feature? a fine grained sentiment analysis of app reviews. Paper presented at: Proceedings of the 2014 IEEE 22nd International Requirements Engineering Conference (RE);2014; Karlskrona Sweden.
MustoC SemeraroG PolignanoM. A comparison of lexicon‐based approaches for sentiment analysis of microblog posts. Paper presented at: Proceedings of the DART@ AI* IA;2014:59‐68.
DandaP MishraP KannegantiS LankaS. IIIT‐H at IJCNLP 2017 Task 4: Customer feedback analysis using machine learning and neural network approaches. Paper presented at: Proceedings of the IJCNLP 2017 Shared Tasks;2017; Taipei Taiwan.
GamonM. Sentiment classification on customer feedback data: noisy data large feature vectors and the role of linguistic analysis. Paper presented at: Proceedings of the 20th International Conference on Computational Linguistics. Association for Computational Linguistics;2004; Geneva Switzerland
ToujaniR AkaichiJ. Fuzzy sentiment classification in social network facebook' statuses mining. Paper presented at: Proceedings of the 2016 7th International Conference on Sciences of Electronics Technologies of Information and Telecommunications (SETIT);2017; Hammamet Tunisia.
NadaliS MuradMAA KadirRA. Sentiment classification of customer reviews based on fuzzy logic. Paper presented at: Proceedings of the 2010 International Symposium on Information Technology;2010; Kuala Lumpur Malaysia.
Rahmath PH, 2014, Fuzzy based sentiment analysis of online product reviews using machine learning techniques, Int J Comput Appl, 99, 9
Wordpress. A blog on data science & machine learning for beginners;2017.https://dataandbeyond.wordpress.com/2017/08/24/split‐of‐train‐and‐test‐data/. Accessed November 3 2019.
Keras. Text preprocessing;2015.https://keras.io/preprocessing/text/. Accessed November 1 2019.
Keras. Embedding layers;2015.https://keras.io/layers/embeddings/. Accessed November 1 2019.
Cui Z, 2018, Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network‐Wide Traffic Speed Prediction
ZhouP ShiW TianJ. Attention‐based bidirectional long short‐term memory networks for relation classification. Paper presented at: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics;2016; Berlin Germany
Medium backpropogating an LSTM: a numerical example;2016.https://medium.com/@aidangomez/let‐s‐do‐this‐f9b699de31d9. Accessed October 25 2019.
ForitDeep learning library for Theano and TensorFlow;2015.http://faroit.com/keras‐docs/1.2.2/preprocessing/text/. Accessed October 31 2019.
Alam J, 2017, A soft computing model for evaluating teachers' overall performance using fuzzy logic, J Inf Technol Softw Eng, 7, 1
LaiS XuL LiuK ZhaoJ. Recurrent convolutional neural networks for text classification. Paper presented at: Proceedings of the 29th AAAI Conference on Artificial Intelligence;2015; Austin TX.
DingX LiuT DuanJ NieJY. Mining user consumption intention from social media using domain adaptive convolutional neural network. Paper presented at: Proceedings of the 29th AAAI Conference on Artificial Intelligence;2015; Austin TX.
YaoXL. Attention‐based BiLSTM neural networks for sentiment classification of short texts. Paper presented at: Proceeding of the International Conference on Information Science and Cloud Computing;2017; Guangzhou China.
Liu J, 2019, Attention‐based BiGRU‐CNN for Chinese question classification, J Ambient Intell Humaniz Comput, 13, 1
Vinayakumar R, 2020, A visualized botnet detection system based deep learning for the internet of things networks of smart cities, IEEE Trans Ind Appl, 6, 1