• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2020 (1)
    • 2019 (2)
    • 2016 (3)
    • 2010 (1)
    • 2008 (1)
    • 2007 (2)
  • 
    Medium:
    
    • Online (11)
  • 
    Type
  • 
    BLLDB-Access:
    • free (11)
    • subject to license (0)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Stance phraseology in academic discourse: cross-disciplinary variation in authors’ presence Dong, Jihua; Buckingham, Louisa In: Ibérica: Revista de la Asociación Europea de Lenguas para Fines Específicos ( AELFE ), ISSN 1139-7241, Nº. 39, 2020, pags. 191-214 (2020) BASE Show details 2 Survey on Sentiment Analysis Using Machine Learning ... Parth Deshmukh; Adesh Gadge; Aniket Ganbote; Swapnali Garud; Prof. D. S. Kulkarni. - : Zenodo, 2019 Abstract: Sentiment Analysis is the mining of opinions, sentiments & subjectivity of the context. It is the process of computationally identifying & categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment Analysis (SA) or Opinion Mining (OM) is the study of people’s opinions, monitoring social media & other online resources for customer reviews to understand customer understanding of significant in business analysis. SA or OM is used over a large area so that peoples can make an effective type of decision from other people’s reviews. SA plays important role in our day to day life while taking decisions about buying online products & for movie reviews. It is field of study that identifies & extracts subjective information from structured & unstructured texts. ... : {"references": ["Jha, V&ana, N. Manjunath, P. Deepa Shenoy, K. R. Venugopal, & Lalit M. Patnaik. \"Homs: Hindi opinion mining system.\" In Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on, pp. 366-371. IEEE, 2015.", "Sitaram, Dinkar, Savitha Murthy, Debraj Ray, Devansh Sharma, & Kashyap Dhar. \"Sentiment analysis of mixed language employing Hindi-English code switching.\" In Machine Learning & Cybernetics (ICMLC), 2015 International Conference on, vol. 1, pp. 271-276. IEEE, 2015.", "Sharma, Richa, Shweta Nigam, & Rekha Jain. \"Opinion mining in Hindi language: a survey.\" arXiv preprint arXiv: 1404.4935 (2014).", "Nair, Deepu S., Jisha P. Jayan, & Elizabeth Sherly. \"SentiMa-sentiment extraction for Malayalam.\" In Advances in Computing, Communications & Informatics (ICACCI), 2014 International Conference on, pp. 1719-1723. IEEE, 2014.", "Nair, Deepu S., Jisha P. Jayan, R. R. Rajeev, & Elizabeth Sherly. \"Sentiment Analysis of Malayalam ... Keyword: http//matjournals.com/; Natural Language Processing NLP; Text Mining; Information Retrieval IR; Data Mining; Sentiment Analysis; Opinion Mining; Machine Learning ML; SentiWordNet SWN; Lexicon; Natural Language Processing Toolkit NLTK. URL: https://zenodo.org/record/2614704 https://dx.doi.org/10.5281/zenodo.2614704 BASE Hide details 3 Survey on Sentiment Analysis Using Machine Learning ... Parth Deshmukh; Adesh Gadge; Aniket Ganbote. - : Zenodo, 2019 BASE Show details 4 SNET : a statistical normalisation method for Twitter Sosamphan, Phavanh. - 2016 BASE Show details 5 SNET : a statistical normalisation method for Twitter Sosamphan, Phavanh. - : Unitec Institute of Technology, 2016 BASE Show details 6 SNET : a statistical normalisation method for Twitter Sosamphan, Phavanh. - 2016 BASE Show details 7 Natural Language Toolkit (NLTK) Shu, Xiaokui; Cohen, Ron. - 2010 BASE Show details 8 Multidisciplinary Instruction with the Natural Language Toolkit BIRD, S; Klein; Loper... In: TEACH CL-08 Third Workshop on Issues in Teaching Computational Linguistics (2008) BASE Show details 9 Managing Fieldwork Data with Toolbox and the Natural Language Toolkit Robinson, Stuart; Aumann, Greg; Bird, Steven. - : University of Hawai'i Press, 2007 BASE Show details 10 Managing Fieldwork Data with Toolbox and the Natural Language Toolkit Stuart Robinson; Greg Aumann; Steven Bird In: Language Documentation & Conservation, Vol 1, Iss 1 (2007) (2007) BASE Show details 11 Creació d’un programa d’anàlisi i etiquetatge de noms propis en la premsa anglesa Ramon Baró, Ariadna BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 11 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0