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	Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Natural Language Processing (I.2.7) > Text Analysis (I.2.7...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 41 Reviews about "Text Analysis (I.2.7...)": Date Reviewed    A review of semi-supervised learning for text classification Duarte J., Berton L. Artificial Intelligence Review 56(9): 9401-9469, 2023.  Type: Article Duarte and Berton address the challenges of text classification in the context of big data, emphasizing the difficulties and costs associated with obtaining large labeled datasets. They explore the field of semi-supervised learning (SSL) as a sol... Aug 14 2024   Aspect extraction in sentiment analysis: comparative analysis and survey Rana T., Cheah Y. Artificial Intelligence Review 46(4): 459-483, 2016.  Type: Article This paper covers a considerable volume of research work in the area of sentiment analysis. The authors define sentiment analysis as the computational classification of the context of a user’s feelings within a passage of tex... Mar 23 2017   Towards automatic identification of core concepts in educational resources Sultan M., Bethard S., Sumner T.  JCDL 2014 (Proceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries, London, UK, Sep 8-12, 2014) 379-388, 2014.  Type: Proceedings This paper studies the problem of recognizing the degree of similarity between ideas expressed in sentences. In particular, the authors consider the case of science education, where a set of core ideas expressed in sentences exists and... May 27 2015   A platform for language independent summarization Cabral L., Lins R., Mello R., Freitas F., Ávila B., Simske S., Riss M.  DocEng 2014 (Proceedings of the 2014 ACM Symposium on Document Engineering, Fort Collins, CO, Sep 16-19, 2014) 203-206, 2014.  Type: Proceedings This paper describes a language independent, automatic text summarization system, the platform for language independent summarization (PLIS). Traditional text summarization systems mainly focus on the processing of English text. PLIS i... Nov 4 2014   Normalization of informal text Pennell D., Liu Y. Computer Speech and Language 28(1): 256-277, 2014.  Type: Article This detailed and well-written paper presents a study on the normalization of informal text. The idea of normalization is to convert or correct informal language use into its formal equivalent. An example would be the expansion of the ... May 9 2014    Unsupervised information extraction by text segmentation Cortez E., da Silva A., Springer Publishing Company, Incorporated, New York, NY, 2013. 124 pp.  Type: Book (978-3-319025-96-4) The typical result from a web search is still a ranked list of documents that may contain the information you’re looking for, but it is up to the user to actually extract the sought-after information. In order for search engi... Apr 22 2014   Unsupervised similarity-based word sense disambiguation using context vectors and sentential word importance Abdalgader K., Skabar A. ACM Transactions on Speech and Language Processing (TSLP) 9(1): 1-21, 2012.  Type: Article One of the major challenges for computers remains the ability to deal with text formulated in a natural language. While significant advances in computational linguistics, artificial intelligence, computing power, and other aspects have... Aug 24 2012   Who wrote what where: analyzing the content of human and automatic summaries Owczarzak K., Dang H.  WASDGML 11 (Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages, Portland, OR, Jun 23, 2011) 25-32, 2011.  Type: Proceedings Text summarization remains an elusive goal of automatic summarizers. The state of the art for summarization has begun to reach a limit using extractive techniques. Thus, systems have been given a new task of creating a more responsive ... Mar 12 2012   Learning to identify educational materials Hassan S., Mihalcea R. ACM Transactions on Speech and Language Processing (TSLP) 8(2): 1-18, 2011.  Type: Article Users often receive search results that are not accurate or consistent with their expectations. In this paper, the authors address the challenge of automating document identification, focusing on user needs. Their method improves the s... Feb 6 2012   Ontology-driven discovery of geospatial evidence in Web pages Borges K., Davis, Jr. C., Laender A., Medeiros C. Geoinformatica 15(4): 609-631, 2011.  Type: Article The ability to correctly interpret geospatial information is undoubtedly a difficult exercise for artificial intelligence. While humans easily deal with this problem, it is an enormous challenge for computers. The importance of this pr... Dec 22 2011       Display 510152550100 per page
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