PROCEEDING IC-ITECHS 2014
PROCEEDING IC-ITECHS 2014

Interviewer BOT Design to Help Student Learning English for Job Interview

Zamah Sari, M. Junus, M. Sarosa, Martin Fatnuriyah, Mariana Ulfah Hoesny, (Unknown)



Article Info

Publish Date
25 Oct 2015

Abstract

To improve skills in English conversation when seeking job in employment interviewsession is a must to increase competitiveness among other employment seekers. Because of limited resources in our institutions that can help students learning and practice English for interview and achieve their dream work, we design a bot that has personality as an interviewer who  asked  the  questions and  then concludes the conversation  and  make  summary  of  the interview result.This  bot  interviewer  design  is  using  a  modern  chatter  bot  named  ALICE,  and  to replicate human intelligent to machine we use AIML. Meanwhile Naive Bayes Algorithm is used to classify the interview result into areas of potentials, talents, and interests of student, and then made a summary in the end of the interview session using a modified phrase reinforcement algorithm where we change the term frequency – inverse document frequency algorithm with Booleanterm frequency using selected keywords. This interviewerbot help student to practice their listening, speaking, know how to answer interviewer questions, and also know their potentials, talents, and area of interests.

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