Replies Identification in Question Answering System using Vector Space Model
Intan Yuniar Purbasari, Fetty Tri Anggraeny, Masti Fatchiyah Maharani
Intan Yuniar Purbasari
Available Online December 2018.
- https://doi.org/10.2991/icst-18.2018.96How to use a DOI?
- question answering system; vector space model; information retrieval; data mining
- Automatic question answering system is an information retrieval system designed to return an answer to a specific question. It is a base system for a chatbot application. This research aims to identify responses in a question answering system using Vector Space Model (VSM). The system compared query questions to possible answers stored in the repository, and the top ten highest similarity results are returned. Dataset used is from students’ questionnaires about final project essay and field practice, which are specific topics of interest often asked to program coordinator. There are 100 questions and answers, and the result gives 0.413 average precision, 0.893 average recall, and 0.563 average F-Measure.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Intan Yuniar Purbasari AU - Fetty Tri Anggraeny AU - Masti Fatchiyah Maharani PY - 2018/12 DA - 2018/12 TI - Replies Identification in Question Answering System using Vector Space Model BT - Proceedings of the International Conference on Science and Technology (ICST 2018) PB - Atlantis Press SP - 459 EP - 464 SN - 2589-4943 UR - https://doi.org/10.2991/icst-18.2018.96 DO - https://doi.org/10.2991/icst-18.2018.96 ID - Purbasari2018/12 ER -