{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:26:14Z","timestamp":1775067974224,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3627345.3627355","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T23:14:02Z","timestamp":1701731642000},"page":"64-70","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Visualization of Online Product Reviews Written in Japanese Based on Entity Sentiment Analysis for Enhanced Customer Experience"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6584-3944","authenticated-orcid":false,"given":"M. Fahim Ferdous","family":"Khan","sequence":"first","affiliation":[{"name":"Information Networking for Innovation and Design (INIAD), Toyo University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4740-005X","authenticated-orcid":false,"given":"Shinji","family":"Seki","sequence":"additional","affiliation":[{"name":"Information Networking for Innovation and Design (INIAD), Toyo University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4497-7958","authenticated-orcid":false,"given":"Ken","family":"Sakamura","sequence":"additional","affiliation":[{"name":"Information Networking for Innovation and Design (INIAD), Toyo University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"2017 International conference on inventive communication and computational technologies (ICICCT) (pp. 298-301)","author":"Shivaprasad T.K.","unstructured":"Shivaprasad, T.K. and Shetty, J., 2017, March. Sentiment analysis of product reviews: A review. In 2017 International conference on inventive communication and computational technologies (ICICCT) (pp. 298-301). IEEE."},{"key":"e_1_3_2_1_2_1","unstructured":"Selenium. Retrieved from https:\/\/www.selenium.dev\/."},{"key":"e_1_3_2_1_3_1","unstructured":"T. Kudo. Mecab: Yet another part-of-speech and morphological analyzer. Retrieved from https:\/\/taku910.github.io\/mecab\/."},{"key":"e_1_3_2_1_4_1","unstructured":"Google Cloud. Analyzing Entity Sentiment. Retrieved from https:\/\/cloud.google.com\/natural-language\/docs\/analyzing-entity-sentiment\/."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3586075"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3548772"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5909"},{"key":"e_1_3_2_1_8_1","volume-title":"Cognitive Informatics and Soft Computing: Proceeding of CISC 2017 (pp. 639-647)","author":"Jagdale R.S.","unstructured":"Jagdale, R.S., Shirsat, V.S. and Deshmukh, S.N., 2019. Sentiment analysis on product reviews using machine learning techniques. In Cognitive Informatics and Soft Computing: Proceeding of CISC 2017 (pp. 639-647). Springer Singapore."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-021-00277-x"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-12410-4"},{"key":"e_1_3_2_1_11_1","first-page":"344","volume-title":"The nature of emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American scientist, 89(4)","author":"Plutchik R.","unstructured":"Plutchik, R., 2001. The nature of emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American scientist, 89(4), pp.344-350."},{"key":"e_1_3_2_1_12_1","unstructured":"NAIST Social Computing Lab. JIWC-Dictionary. Retrieved from https:\/\/sociocom.naist.jp\/jiwc-dictionary-en\/."},{"key":"e_1_3_2_1_13_1","unstructured":"SNOW D18: Japanese Emotional Expression Dictionary. Retrieved from https:\/\/www.jnlp.org\/GengoHouse\/snow\/d18\/."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 2095-2104)","author":"Kajiwara T.","unstructured":"Kajiwara, T., Chu, C., Takemura, N., Nakashima, Y. and Nagahara, H., 2021, June. WRIME: A new dataset for emotional intensity estimation with subjective and objective annotations. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 2095-2104)."},{"key":"e_1_3_2_1_15_1","unstructured":"CiNii Research. Sentiment and Topic Analysis of Japanese Sentences by BERT (in Japanese). Retrieved from https:\/\/cir.nii.ac.jp\/crid\/1050575495579268608?lang=en\/."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 7014-7021)","author":"Nakayama Y.","unstructured":"Nakayama, Y., Murakami, K., Kumar, G., Bhingardive, S. and Hardaway, I., 2022, June. A large-scale Japanese dataset for aspect-based sentiment analysis. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 7014-7021)."},{"key":"e_1_3_2_1_17_1","volume-title":"Retrieved","author":"Shivam Solanki","year":"2022","unstructured":"Shivam Solanki. 2022. Sentiment analysis using IBM Watson NLP. (October 2022). Retrieved August 30, 2023 from https:\/\/developer.ibm.com\/tutorials\/use-the-watson-core-nlp-library-to-perform-sentiment-analysis\/."},{"key":"e_1_3_2_1_18_1","unstructured":"Amazon Comprehend. Retrieved from https:\/\/aws.amazon.com\/comprehend\/."},{"key":"e_1_3_2_1_19_1","first-page":"2723","volume-title":"Frontiers in Psychology","author":"Chen T.","unstructured":"Chen, T., Samaranayake, P., Cen, X., Qi, M. and Lan, Y.C., 2022. The impact of online reviews on consumers\u2019 purchasing decisions: Evidence from an eye-tracking study. Frontiers in Psychology, p.2723."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324916000334"},{"key":"e_1_3_2_1_21_1","unstructured":"Beautiful Soup Documentation. Retrieved from https:\/\/www.crummy.com\/software\/BeautifulSoup\/bs4\/doc\/."},{"key":"e_1_3_2_1_22_1","volume-title":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) (pp. 559-562)","author":"Khan M.F.F.","unstructured":"Khan, M.F.F., Inoue, R. and Sakamura, K., 2021, October. Development of a Bot using Sentiment Dictionary and Machine Learning for Proactive Detection of Slanderous Japanese Posts on Social Media. In 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) (pp. 559-562). IEEE."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Khan M.F.F. Kanemaru A. and Sakamura K. 2022 October. Sentiment Analysis of Japanese Tweets Using Auto-Augmented Sentiment Polarity Dictionaries and Advanced Word Embedding. In 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (pp. 462-466). IEEE.","DOI":"10.1109\/GCCE56475.2022.10014185"},{"key":"e_1_3_2_1_24_1","volume-title":"June. Bipolar Sentiment Analysis of Japanese Social Media Posts: A Semantic Similarity Based Approach. In 2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) (pp. 198-201)","author":"Khan M.F.F.","unstructured":"Khan, M.F.F., Oi, N. and Sakamura, K., 2023, June. Bipolar Sentiment Analysis of Japanese Social Media Posts: A Semantic Similarity Based Approach. In 2023 Sixth International Symposium on Computer, Consumer and Control (IS3C) (pp. 198-201). IEEE."},{"key":"e_1_3_2_1_25_1","unstructured":"Google Cloud. Natural Language API Basics. Retrieved from https:\/\/cloud.google.com\/natural-language\/docs\/basics#entity_analysis\/."},{"key":"e_1_3_2_1_26_1","unstructured":"Google Cloud. Natural Language API Basics. Retrieved from https:\/\/cloud.google.com\/natural-language\/docs\/basics#interpreting_sentiment_analysis_values\/."},{"key":"e_1_3_2_1_27_1","first-page":"129","volume-title":"Least squares quantization in PCM","author":"Lloyd S.","unstructured":"Lloyd, S., 1982. Least squares quantization in PCM. IEEE transactions on information theory, 28(2), pp.129-137."},{"key":"e_1_3_2_1_28_1","unstructured":"T. Sato. mecab-ipadic-NEologd: Neologism dictionary for MeCab. Retrieved from https:\/\/github.com\/neologd\/mecab-ipadicneologd\/."}],"event":{"name":"CCIOT 2023: 2023 8th International Conference on Cloud Computing and Internet of Things","location":"Okinawa Japan","acronym":"CCIOT 2023"},"container-title":["Proceedings of the 2023 8th International Conference on Cloud Computing and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627345.3627355","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627345.3627355","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:45:41Z","timestamp":1750178741000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627345.3627355"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":28,"alternative-id":["10.1145\/3627345.3627355","10.1145\/3627345"],"URL":"https:\/\/doi.org\/10.1145\/3627345.3627355","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}