Automatic Detection of Insulting Sentences in Conversation

Merav Allouch, Amos Azaria, Rina Azoulay, Ester Ben-Izchak, Moti Zwilling, Ditza A. Zachor

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

20 اقتباسات (Scopus)

ملخص

An overall goal of our work is to use machine-learning based solutions to assist children with communication difficulties in their communication task. In this paper, we concentrate on the problem of recognizing insulting sentences the child says, or insulting sentences that are told to him. An automated agent that is able to recognize such sentences can alert the child in real time situations, and can suggest how to respond to the resulting social situation. We composed a dataset of 1241 non-insulting and 1255 insulting sentences. We trained different machine learning methods on 90% randomly chosen sentences from the dataset and tested it on the remaining. We used the following machine learning methods: Multi-Layer Neural Network, SVM, Naive Bayes, Decision Tree, and Tree Bagger for the task. We found that the best predictors of the insulting sentences, were the SVM method, with 80% recall and over 75%precision, and the Multi-Layer Neural Network and the Tree Bagger, with precision and recall exceeding 75%, We also found that adding additional data to the learning process, such as 9500 labeled sentences from twitter, or adding the word 'positive' and the word 'negative' to sentences including positive or negative words, respectively, slightly improves the results in most of the cases. Our results provide the cornerstones for an automated system that would enable on-line assistance and consultation for children with communication disabilities, and also for other persons with communication problems, in a way that will enable them to function better in society through this assistance.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيف2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ناشرInstitute of Electrical and Electronics Engineers Inc.
رقم المعيار الدولي للكتب (الإلكتروني)9781538663783
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2 يوليو 2018
الحدث2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, إسرائيل
المدة: ١٢ ديسمبر ٢٠١٨١٤ ديسمبر ٢٠١٨

سلسلة المنشورات

الاسم2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

!!Conference

!!Conference2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
الدولة/الإقليمإسرائيل
المدينةEilat
المدة١٢/١٢/١٨١٤/١٢/١٨

بصمة

أدرس بدقة موضوعات البحث “Automatic Detection of Insulting Sentences in Conversation'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا