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Analysis on a huge amount of instagram post captions will take a lot of time when users do a one-by-one analysis related to the topic of food and beauty. To automatically classify instagram post captions without having to identify them one by one to make decisions quickly can be done by using a machine learning-based classification system. Machine learning had a wide variety of algorithms, such as backpropagation. The classification system of celebgram profile category which was done using backpropagation algorithm received input in caption data form from celebgram profile processed by text mining namely case folding, tokenizing, stop words and stemming process. After obtaining keywords from the text mining process, they would be calculated with backpropagation which generated output in the form of a categorized celebgram profile. The testing conducted using backpropagation method had been conducted and it could administer the classification of caption categories from celebgram such as food and beauty. The research result shows the accuracy value of the backpropagation method is 96%.
The following are the steps for installing the project.
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pip
pip install -r requirements.txt
Please see the installation section in Built With.
PHP version 5.6 or newer is recommended.
It should work on 5.3.7 as well, but we strongly advise you NOT to run such old versions of PHP, because of potential security and performance issues, as well as missing features.
Distributed under the MIT License. See LICENSE for more information.