nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

Bidirectional LSTM for Author Gender Identification

verfasst von : Bassem Bsir, Mounir Zrigui

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Author profiling consists in inferring the authors’ gender, age, native language, dialects or personality by examining his/her written text. This important task is a very active research area because of its utility in crime, marketing and business.

In this paper, we address the problem of gender identification by applying the Long Short-Term Memory neural network architecture. Which is a novel type of recurrent network architecture that implements an appropriate gradient-based learning algorithm to overcome the vanishing-gradient problem. Experimental results show that our composition outperformed the traditional machine learning methods on gender identification.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel DBpedia and YAGO Based System for Answering Questions in Natural Language

Nächstes Kapitel A New Text Semi-supervised Multi-label Learning Model Based on Using the Label-Feature Relations

Wikipedia, “WikimediaDownloads.”https://dumps.wikimedia.org/arwiki/ 20170401/, 2017. [Online. Accessed 10 Apr 2017]

Poulston, A.: Stevenson, M., Bontcheva, K.: Topic models and n–gram language models for author profiling. In: Proceedings of CLEF 2015 Evaluation Labs (2015)

Alvarez-Carmona, M.A., et al.: INAOE’s participation at PAN 2015: Author profiling task. In: Working Notes Papers of the CLEF (2015)

Argamon, S., Koppel, M., Fine, J., Shimoni, A.R.: Gender, genre, and writing style in formal written texts. Text-The Hague Then Amsterdam Then Berlin- 23(3), 321–346 (2003)

Aslam, T., Krsul, I., Spafford, E.H.: Use of a taxonomy of security faults (1996)

Bamman, D., Eisenstein, J., Schnoebelen, T.: Gender identity and lexical variation in social media. J. Socioling. 18(2), 135–160 (2014)CrossRef

Bassem, B., Zrigui, M.: An empirical method for evaluation of author profiling framework. In: PACLIC 31. Cebu (2017)

González-Gallardo, C.E., Montes, A., Sierra, G., Núñez-Juárez, J.A., Salinas-López, A.J., Ek, J.: Tweets classification using corpus dependent tags, character and POS N-grams. In: Proceedings of CLEF 2015 Evaluation Labs (2015)

Chaski, C.E.: Who wrote it? Steps toward a science of authorship identification. Nat. Inst. Justice J. 233(233), 15–22 (1997)

Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation (2014). arXiv preprint arXiv:1406.1078

10.

Clauset, A., Moore, C., Newman, M.E.: Hierarchical structure and the prediction of missing links in networks. Nature 453(7191), 98 (2008)CrossRef

11.

Collobert, R., et al.: Natural language processing (almost) from scratch. Journal of Machine Learning Research, 2493–2537, 12 Aug 2011

12.

Ding, H., Samadzadeh, M.H.: Extraction of Java program fingerprints for software authorship identification. J. Syst. Softw. 72(1), 49–57 (2004)CrossRef

13.

Estival, D., et al.: Author Profiling for English and Arabic Emails (2008)

14.

Gehring, W.J., et al.: A neural system for error detection and compensation. Psychol. Sci. 4(6), 385–390 (1993)CrossRef

15.

Gokturk, S.B., et al.: System and method for providing objectified image renderings using recognition information from images. U.S. Patent No. 9,430,719. 30 Aug 2016

16.

Hochreiter, S., Schmidhuber, J.: LSTM can solve hard long time lag problems. In: Advances in neural information processing systems, pp. 473–479 (1997)

17.

Inches, G., Crestani, F.: Overview of the international sexual predator identification competition at PAN-2012. In: CLEF (Online working notes/labs/workshop), vol. 30 (2012)

18.

Joachims, T.: Text categorization with Support Vector Machines: learning with many relevant features. In: Nédellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137–142. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0026683CrossRef

19.

Kalchbrenner, N., Blunsom, P.: Recurrent continuous translation models. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (2013)

20.

Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences (2014). arXiv preprint arXiv:1404.2188

21.

Kodiyan, D., et al.: Author profiling with bidirectional RNNs using attention with GRUs: notebook for PAN at CLEF 2017. In: CLEF 2017 Evaluation Labs and Workshop–Working Notes Papers, Dublin, Ireland. 11–14 September 2017

22.

Malmasi, S., et al.: Discriminating between similar languages and arabic dialect identification: a report on the third dsl shared task. In: VarDial 3 (2016)

23.

Martinc, M., Škrjanec, I., Zupan, K., Pollak, S.: Pan 2017: Author profiling gender and language variety prediction. CLEF (Working Notes) 2017. In: CEUR Workshop Proceedings 1866, CEUR-WS.org (2017)

24.

Miura, Y., et al.: Author Profiling with Word + Character Neural Attention Network. CLEF (Working Notes) 2017. In: CEUR Workshop Proceedings 1866, CEUR-WS.org (2017)

25.

Peersman, C., Daelemans, W., Van Vaerenbergh, L.: Predicting age and gender in online social networks. In: Proceedings of the 3rd International Workshop on Search and Mining User-Generated Contents, pp. 37–44. ACM (2011)

26.

Pham, D.D., Tran, G.B., Pham, S.B.: Author profiling for Vietnamese blogs. In: International Conference on Asian Language Processing, 2009. IALP 2009, pp. 190–194. IEEE (2009)

27.

Rangel, F., et al.: Overview of the 5th author profiling task at pan 2017: gender and language variety identification in twitter. In: Working Notes Papers of the CLEF (2017)

28.

Säily, T.: Variation in morphological productivity in the BNC: Sociolinguistic and methodological considerations. Corpus Linguist. Linguist. Theory 7(1), 119–141 (2011)CrossRef

29.

Sallis, P.J., et al.: Identified: Software authorship analysis with case-based reasoning (1998)

30.

Sap, M., Park, G., Eichstaedt, J., Kern, M., Stillwell, D., Kosinski, M., Schwartz, H.A.: Developing age and gender predictive lexica over social media. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1146–1151 (2014)

31.

Socher, R., et al. Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (2013)

32.

Wang, P., Xu, J., Xu, B., Liu, C., Zhang, H., Wang, F., Hao, H.: Semantic clustering and convolutional neural network for short text categorization. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). vol. 2, pp. 352–357 (2015)

33.

Williams, J.D., Zweig, G.: End-to-end lstm-based dialog control optimized with supervised and reinforcement learning (2016). arXiv preprint arXiv:1606.01269

34.

Yin, W., et al. Comparative study of cnn and rnn for natural language processing (2017). arXiv preprint arXiv:1702.01923

35.

Zhou, C., Sun, C., Liu, Z., Lau, F.: A C-LSTM neural network for text classification (2015). arXiv preprint arXiv:1511.08630

36.

Zhou, P., Qi, Z., Zheng, S., Xu, J., Bao, H., Xu, B.: Text classification improved by integrating bidirectional LSTM with two-dimensional max pooling (2016). arXiv preprint arXiv:1611.06639. 2016

Titel: Bidirectional LSTM for Author Gender Identification
verfasst von: Bassem Bsir
Mounir Zrigui
Verlag: Springer International Publishing
Buch: Computational Collective Intelligence
Print ISBN: 978-3-319-98442-1

Electronic ISBN: 978-3-319-98443-8

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-98443-8_36

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"