{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:28:22Z","timestamp":1743020902841,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030360559"},{"type":"electronic","value":"9783030360566"}],"license":[{"start":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T00:00:00Z","timestamp":1575504000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-36056-6_20","type":"book-chapter","created":{"date-parts":[[2019,12,4]],"date-time":"2019-12-04T20:02:54Z","timestamp":1575489774000},"page":"202-210","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The Comparison of Pooling Functions in Convolutional Neural Network for Sentiment Analysis Task"],"prefix":"10.1007","author":[{"given":"Nurul Ashikin","family":"Samat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohd Najib Mohd","family":"Salleh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haseeb","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.inffus.2016.10.004","volume":"36","author":"S Sun","year":"2017","unstructured":"Sun S, Luo C, Chen J (2017) A review of natural language processing techniques for opinion mining systems. Inf Fusion 36:10\u201325","journal-title":"Inf Fusion"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Wu Z, Dai X-Y, Yin C, Huang S, Chen J (2018) Improving review representations with user attention and product attention for sentiment classification. In: Thirty-second AAAI conference on artificial intelligence","DOI":"10.1609\/aaai.v32i1.12054"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Yaqub U, Chun S, Atluri V, Vaidya J (2017) Sentiment based analysis of tweets during the us presidential elections. In: Proceedings of the 18th annual international conference on digital government research. ACM, pp 1\u201310","DOI":"10.1145\/3085228.3085285"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Anandarajan M, Hill C, Nolan T (2019) Sentiment analysis of movie reviews using R. In: Practical text analytics. Springer, pp 193\u2013220","DOI":"10.1007\/978-3-319-95663-3_13"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Ramanathan V, Meyyappan T (2019) Twitter text mining for sentiment analysis on people\u2019s feedback about oman tourism. In: 2019 4th MEC international conference on big data and smart city (ICBDSC). IEEE, pp 1\u20135","DOI":"10.1109\/ICBDSC.2019.8645596"},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.ins.2015.03.040","volume":"311","author":"J Serrano-Guerrero","year":"2015","unstructured":"Serrano-Guerrero J, Olivas JA, Romero FP, Herrera-Viedma E (2015) Sentiment analysis: a review and comparative analysis of web services. Inf Sci 311:18\u201338","journal-title":"Inf Sci"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Goswami S, Nandi S, Chatterjee S (2019) Sentiment analysis based potential customer base identification in social media. In: Contemporary advances in innovative and applicable information technology. Springer, pp 237\u2013243","DOI":"10.1007\/978-981-13-1540-4_23"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez A, Argueta C, Chen Y-L (2019) Automatic detection of hate speech on facebook using sentiment and emotion analysis. In: 2019 international conference on artificial intelligence in information and communication (ICAIIC). IEEE, pp 169\u2013174","DOI":"10.1109\/ICAIIC.2019.8669073"},{"key":"20_CR9","doi-asserted-by":"publisher","first-page":"3613","DOI":"10.1007\/s11042-017-5243-3","volume":"78","author":"Y-D Zhang","year":"2019","unstructured":"Zhang Y-D, Dong Z, Chen X, Jia W, Du S, Muhammad K, Wang S-H (2019) Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation. Multimed Tools Appl 78:3613\u20133632","journal-title":"Multimed Tools Appl"},{"key":"20_CR10","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.compeleceng.2019.04.011","volume":"76","author":"G Geetharamani","year":"2019","unstructured":"Geetharamani G, Pandian A (2019) Identification of plant leaf diseases using a nine-layer deep convolutional neural network. Comput Electr Eng 76:323\u2013338","journal-title":"Comput Electr Eng"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Akiyama T, Kobayashi Y, Kishigami J, Muto K (2018) CNN-based boat detection model for alert system using surveillance video camera. In: 2018 IEEE 7th global conference on consumer electronics (GCCE). IEEE, pp 669\u2013670","DOI":"10.1109\/GCCE.2018.8574704"},{"key":"20_CR12","doi-asserted-by":"publisher","first-page":"2980","DOI":"10.1109\/TMM.2018.2827782","volume":"20","author":"H Kim","year":"2018","unstructured":"Kim H, Kim Y, Kim SJ, Lee I (2018) Building emotional machines: recognizing image emotions through deep neural networks. IEEE Trans Multimedia 20:2980\u20132992","journal-title":"IEEE Trans Multimedia"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Dhall A, Kaur A, Goecke R, Gedeon T (2018) Emotiw 2018: audio-video, student engagement and group-level affect prediction. In: Proceedings of the 2018 on international conference on multimodal interaction. ACM, pp 653\u2013656","DOI":"10.1145\/3242969.3264993"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Ceruti C, Cuculo V, D\u2019Amelio A, Grossi G, Lanzarotti R (2017) Taking the hidden route: deep mapping of affect via 3D neural networks. In: International conference on image analysis and processing. Springer, pp 189\u2013196","DOI":"10.1007\/978-3-319-70742-6_18"},{"key":"20_CR15","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/MCI.2018.2840738","volume":"13","author":"T Young","year":"2018","unstructured":"Young T, Hazarika D, Poria S, Cambria E (2018) Recent trends in deep learning based natural language processing. ieee Comput Intell Mag 13:55\u201375","journal-title":"ieee Comput Intell Mag"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Lai S, Xu L, Liu K, Zhao J (2015) Recurrent convolutional neural networks for text classification. In: Twenty-ninth AAAI conference on artificial intelligence","DOI":"10.1609\/aaai.v29i1.9513"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Kim Y (2014) Convolutional neural networks for sentence classification. arXiv:1408.5882","DOI":"10.3115\/v1\/D14-1181"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Kalchbrenner N, Grefenstette E, Blunsom P (2014) A convolutional neural network for modelling sentences. arXiv:1404.2188","DOI":"10.3115\/v1\/P14-1062"},{"key":"20_CR19","unstructured":"Dos Santos C, Gatti M (2014) Deep convolutional neural networks for sentiment analysis of short texts. In: Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers, pp 69\u201378"},{"issue":"3","key":"20_CR20","doi-asserted-by":"publisher","first-page":"697","DOI":"10.32604\/cmc.2019.05375","volume":"58","author":"F Xu","year":"2019","unstructured":"Xu F, Zhang X, Xin Z, Yang A (2019) Investigation on the Chinese text sentiment analysis based on convolutional neural networks in deep learning. Comput Mater Contin 58(3):697\u2013709","journal-title":"Comput Mater Contin"},{"key":"20_CR21","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.procs.2017.06.037","volume":"111","author":"S Liao","year":"2017","unstructured":"Liao S, Wang J, Yu R, Sato K, Cheng Z (2017) CNN for situations understanding based on sentiment analysis of twitter data. Procedia Comput Sci 111:376\u2013381","journal-title":"Procedia Comput Sci"},{"key":"20_CR22","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.knosys.2016.06.017","volume":"107","author":"Q Li","year":"2016","unstructured":"Li Q, Jin Z, Wang C, Zeng DD (2016) Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems. Knowl-Based Syst 107:289\u2013300","journal-title":"Knowl-Based Syst"},{"key":"20_CR23","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.future.2018.12.018","volume":"95","author":"F Abid","year":"2019","unstructured":"Abid F, Alam M, Yasir M, Li C (2019) Sentiment analysis through recurrent variants latterly on convolutional neural network of Twitter. Futur Gener Comput Syst 95:292\u2013308","journal-title":"Futur Gener Comput Syst"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Scherer D, M\u00fcller A, Behnke S (2010) Evaluation of pooling operations in convolutional architectures for object recognition. In: International conference on artificial neural networks. Springer, pp. 92\u2013101","DOI":"10.1007\/978-3-642-15825-4_10"},{"key":"20_CR25","doi-asserted-by":"crossref","unstructured":"Wang Y, Li J, Metze F (2019) A comparison of five multiple instance learning pooling functions for sound event detection with weak labeling. In: ICASSP 2019-2019 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, pp 31\u201335","DOI":"10.1109\/ICASSP.2019.8682847"},{"key":"20_CR26","unstructured":"Wang X, Wang L, Qiao Y (2012) A comparative study of encoding, pooling and normalization methods for action recognition. In: Asian conference on computer vision. Springer, pp 572\u2013585"},{"key":"20_CR27","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.patcog.2017.10.013","volume":"77","author":"J Gu","year":"2018","unstructured":"Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J (2018) Recent advances in convolutional neural networks. Pattern Recogn 77:354\u2013377","journal-title":"Pattern Recogn"},{"key":"20_CR28","doi-asserted-by":"crossref","unstructured":"Severyn A, Moschitti A (2015) Learning to rank short text pairs with convolutional deep neural networks. In: Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 373\u2013382","DOI":"10.1145\/2766462.2767738"},{"key":"20_CR29","unstructured":"Williams T, Li R (2018) Wavelet pooling for convolutional neural networks"},{"key":"20_CR30","unstructured":"Zeiler MD, Fergus R (2013) Stochastic pooling for regularization of deep convolutional neural networks. arXiv:1301.3557"},{"key":"20_CR31","unstructured":"Google Colaboratory. https:\/\/colab.research.google.com\/"},{"key":"20_CR32","doi-asserted-by":"publisher","first-page":"61677","DOI":"10.1109\/ACCESS.2018.2874767","volume":"6","author":"T Carneiro","year":"2018","unstructured":"Carneiro T, Da N\u00f3brega RVM, Nepomuceno T, Bian G-B, De Albuquerque VHC, Reboucas Filho PP (2018) Performance analysis of google colaboratory as a tool for accelerating deep learning applications. IEEE Access 6:61677\u201361685","journal-title":"IEEE Access"},{"key":"20_CR33","unstructured":"Maas AL, Daly RE, Pham PT, Huang D, Ng AY, Potts C (2011) Learning word vectors for sentiment analysis. In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies, vol 1. Association for Computational Linguistics, pp 142\u2013150"},{"key":"20_CR34","unstructured":"Kaggle. https:\/\/www.kaggle.com\/c\/word2vec-nlp-tutorial"}],"container-title":["Advances in Intelligent Systems and Computing","Recent Advances on Soft Computing and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36056-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,7]],"date-time":"2022-10-07T18:10:25Z","timestamp":1665166225000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-36056-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,5]]},"ISBN":["9783030360559","9783030360566"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36056-6_20","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,12,5]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SCDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Soft Computing and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Langkawi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 January 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 January 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"scdm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/scdm.uthm.edu.my\/scdm2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}