Informatica最新文献

{"title":"An Automatic Labeling Method for Subword-Phrase Recognition in Effective Text Classification","authors":"Yusuke Kimura, Takahiro Komamizu, Kenji Hatano","doi":"10.31449/inf.v47i3.4742","DOIUrl":"https://doi.org/10.31449/inf.v47i3.4742","url":null,"abstract":"Text classification methods using deep learning, which is trained with a tremendous amount of text, have achieved superior performance than traditional methods. In addition to its success, multi-task learning (MTL for short) has become a promising approach for text classification; for instance, a multi-task learning approach employs the named entity recognition as an auxiliary task for text classification, and it showcases that the auxiliary task helps make the text classification model higher classification performance. The existing MTL-based text classification methods depend on auxiliary tasks using supervised labels. Obtaining such supervision signals requires additional human and financial costs in addition to those for the main text classification task. To reduce these costs, this paper proposes a multi-task learning-based text classification framework reducing the additional costs on supervised label creation by automatically labeling phrases in texts for the auxiliary recognition task. A basic idea to realize the proposed framework is to utilize phrasal expressions consisting of subwords (called subword-phrase) and to deal with the recent situation in which the pre-trained neural language models such as BERT are designed upon subword-based tokenization to avoid out-of-vocabulary words being missed. To the best of our knowledge, there has been no text classification approach on top of subword-phrases, because subwords only sometimes express a coherent set of meanings. The proposed framework is novel in adding subword-phrase recognition as an auxiliary task and utilizing subword-phrases for text classification. It extracts subword-phrases in an unsupervised manner, particularly the statistics approach. In order to construct labels for effective subword-phrase recognition tasks, extracted subword-phrases are classified for document classes so that subword-phrases dedicated to some classes can be distinguishable. The experimental evaluation of the five popular datasets for text classification showcases the effectiveness of the involvement of the subword-phrase recognition as an auxiliary task. It also shows comparative results with the state-of-the-art method, and the comparison of various labeling schemes indicates insights for labeling common subword-phrases among several document classes.","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136349753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Multimedia Web-Data Mining Approach based on Equivalence Class Evaluation Pipelined to Feature Maps onto Planar Projection","authors":"Ravindar Mogili, M. Naidu, G. Narsimha","doi":"10.31449/inf.v47i7.4583","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4583","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48577968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Robust End-to-End CNN Architecture for Efficient COVID-19 Prediction form X-ray Images with Imbalanced Data","authors":"Zakariya A. Oraibi, Safaa Albasri","doi":"10.31449/inf.v47i7.4790","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4790","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43474331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Application of Neural Network-based Bp Algorithm in Speech Translation Robot","authors":"Yu Jie","doi":"10.31449/inf.v47i7.4845","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4845","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42713731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fake Image Detection Using Deep Learning","authors":"Raidah S. Khudeyer, Noor Mohammed Almoosawi","doi":"10.31449/inf.v47i7.4741","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4741","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49638258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Locality Improvement Scheme Based on QR Code Technique within Inverted Index","authors":"A. A. Alyousif, A. Yassin","doi":"10.31449/inf.v47i7.4745","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4745","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47461627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An exploratory bibliometric analysis of the literature on the age of information-aware unmanned aerial vehicles aided communication","authors":"U. Bukar, Md. Shohel Sayeed, Siti Fatimah Abdul Razak, S. Yogarayan, Oluwatosin Ahmed Amodu","doi":"10.31449/inf.v47i7.4783","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4783","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42128637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Video Background Music Recognition and Automatic Recommendation Based on Gmm Model","authors":"Wei Zhou, Ke Ma","doi":"10.31449/inf.v47i7.4812","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4812","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47798841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Automated Python Script for Data Cleaning and Labeling using Machine Learning Technique","authors":"M. A. Oladipupo, Princewill Chima Obuzor, Babatunde J. Bamgbade, A. Adeniyi, Kazeem M. Olagunju, S. A. Ajagbe","doi":"10.31449/inf.v47i6.4474","DOIUrl":"https://doi.org/10.31449/inf.v47i6.4474","url":null,"abstract":"was to obtain a financial dataset from the top database, \"Kaggle\". Create a machine learning (ML) approach in Python that intends to automate the financial dataset cleaning. This covers ingesting data, addressing incomplete data, addressing anomalies, one-hot wrapping and label encoding, extracting date and time values, and data normalization. Implementing an unsupervised machine learning method that attempts to automate financial dataset labeling (k-means). Using the method includes the elbow principle, k-means clustering, data modeling of \"age\" versus \"arrival,\" dimensionality reductions, computer vision, and dataset categorizing using the groupings. An e mpirical assessment of the cleaned and labeled automated trading dataset utilizing a comparison of the cleaned dataset before and after PCA adoption. The results show that the developed ML technique not only improved the performance of the audit data used in this study, but also classified the data after cleaning it and removing the unpleasant section and incomplete data, as shown by the k-means segmentation result and grouping by PCA.","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49226008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Big Data Clustering Techniques Challenged and Perspectives: Review","authors":"F. H. Awad, Murtadha M. Hamad","doi":"10.31449/inf.v47i6.4445","DOIUrl":"https://doi.org/10.31449/inf.v47i6.4445","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45445201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}