Sentiment analysis of indonesian mobile operator with twitter data

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Sentiment analysis of indonesian mobile operator with twitter data

Fahrezasandy, Hansen Januar - Personal Name; Soetomo, Mohammad A. Amin - Personal Name;

The purpose of the research is to found the customer sentiment of several mobile operator in Indonesia, and find the specific words that related to the operator. To perform this we need to extract information from twitter. A tweet will be tokenized, and the tweet will be labeled as positive or negative tweet and analyzing the tweet. Based on the rules, the information from the tweet can be extracted by negative or positive feedback. The next step is to find what word related to the specific mobile operator. Lastly, some success factors will be developed based on the data gathered.

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B01375 (wh) Available

Detail Information

Series Title: -
Call Number: 1375
Publisher: : Swiss German University., 2013
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): IT
Specific Detail Info: -
Statement of Responsibility: -

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