Development of IoT Mining Machine for Twitter Sentiment Analysis

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Aim:

The objective of this project is to develop a system to identify the sentiment of a tweet in micro blogs using machine learning and use IoT device to display in a two-way smart mirror.

Existing System:

The existing system uses sentiment analysis technique to identify the sentiment of the tweet. However this is not sufficient to identify the anti-social messages. The sentiment analysis might give the indication of the emotion related to positive or negative. User has to view the sentiment result either in their computer or laptop.

Proposed System:

We propose a machine learning based classification algorithm to analyze the live tweet. In this system we are using a classifier to identify the words used in the tweet. The algorithm takes specific keywords list as input and the tweet to be identified as another input. The results were plotted in a graph. A special mirror is designed all the functionality were embedded in an IoT device. The user doesn’t need a Computer to check the sentiment of the market, rather a Mirror will display the result as well as the reflection of the person.