Temporal sentiment analysis for opinion mining of ASEAN free trade area on social media

ASEAN Free Trade Area (AFTA) is an agreement from ASEAN countries to form a free trade area which is used to increase the economic competitiveness in ASEAN regional area. Some governmental agencies and national companies have to prepare to face AFTA and build their strategies to survive from trade area by understanding what Indonesian people think about that. In this paper we present a system to analyze the opinion of Indonesian people about AFTA and extract a useful information of the sentiment analysis from their opinion. Our system consists of 5 computational steps: (1) Data Acquisition, (2) Text Mining, (3) Sentiment Analysis Engine, (4) Temporal Projection Engine, and (5) Context Processing Unit. We apply a new approach to analyze opinions about AFTA by opinion mining based on temporal sentiment analysis. This approach extracts and process textual data automatically to obtain sentiment information in the opinion sentences. The results show effectiveness of the simple approach for gaining the sentiment information from people's opinions and some stakeholders and students who are concerned in AFTA have assessed this solution.

I. Introduction

ASEAN Free Trade Area (AFTA) is an agreement from ASEAN countries to form a free trade area which is used to increase the economic competitiveness in ASEAN regional area. AFTA is going to be used to make ASEAN to be a world production base and also create regional trade for their 500 million citizens. There are so many responses from Indonesian people about AFTA, both of business reach, academic, government, and of course each Indonesian people who will feel the impacts from AFTA. The positive and negative impacts of AFTA is always be so many questions from people in Indonesia. Economy, readiness, finance, challenge, culture, education and so on are the things that Indonesia and its people have to face [1].