Extracting actions with improved part of speech tagging for social networking texts

Ameni Youssfi Nouira, Yassine Jamoussi, Henda Ben Ghezela Hajjami

نتاج البحث: Conference contribution

1 اقتباس (Scopus)

ملخص

With the growing interests in social networking, the interaction of social actors evolved to a source of knowledge in which it become possible to perform context aware reasoning. The information extraction from social networking specially Twitter and Facebook is on of the problem in this area. To extract text from social networking, we need several lexical features and large scale word clustering. We attempt to expand existing tokenizer and to develop our own tagger in order to support the incorrect words currently in existence in Facebook and Twitter. Our goal in this work is to benefit of the lexical features developed for Twitter and online conversational text in previous works, to design and to develop an extraction model for constructing a huge knowledge based on actions.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات161-166
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781509043149
المعرِّفات الرقمية للأشياء
حالة النشرPublished - مارس 10 2017
الحدث16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji
المدة: ديسمبر ٧ ٢٠١٦ديسمبر ١٠ ٢٠١٦

سلسلة المنشورات

الاسمProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016

Other

Other16th IEEE International Conference on Computer and Information Technology, CIT 2016
الدولة/الإقليمFiji
المدينةNadi
المدة١٢/٧/١٦١٢/١٠/١٦

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