| Summary: | Background
Cigarette
price in Indonesia was increasingly booming in 2016. It all started from a
controversial survey that conducted by CHEPS UI about public opinion and
support toward cigarette price increase. The survey shows that 72 percent
smokers agree to increase cigarette price until IDR (Indonesian Rupiah) 50.000.
Nevertheless, this survey creates diverse responds throughout various media, TV
channels, newspapers, and online media such as twitter. Hence, this research curious and want the answer from how twitter social media users responds to this issue from time to time and which words that frequently appear to the social media.
Methods
This research use sentiment analysis and word cloud to
analyze tweet texts using Python 2.7 and R It use convenience sampling (availability sampling), with 12.349
tweets are obtained. The time frame of data is from 24 th June 2016
until 28 th January 2017.
Results
In sentiment analysis we define sentiments into three categories of response to the cigarette price increase. Three categories are negative (opposing stance), positive (supporting stance), and neutral (can be canceled each other or none of them). Positive stance includes lexicon of keywords, such as health, household concern, national concern, politics, convenience, support, beliefs, and public figure.Negative stance includes keywords such as beliefs,
unrest, uncertainty or rumor, farmer, brands, propaganda, ineffective,
alternative, opposition, persuasive, tobacco build law, and culture. Besides
the most obvious keywords relating to the issues (tobacco,cigarette, price),
the economic issues relating to the immediate fate of tobacco farmer is one of the primary concern of netizens.
[Histogram of sentiment analysis]
Conclusions
The result shows that negative sentiments still overwhelm the positive ones. Tweets tend to very booming on August and September 2016 and the issues slowing again after that. Words that frequently occur despite cigarette price and tobacco is farmer.
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