This paper presents sentiment analysis of twitter data on movies using R-studio. Twitter is one of the largest social media that shares user opinion about a thing or event that happens all around the world. Recently social media analysis gained importance in digital marketing. User tweets about a product or event, person, movie, etc., are analyzed to know market trends and customer feedback. In this paper, first we have performed literature study on various methods used in twitter data analysis. Second, we have discussed about the steps involved in accessing twitter data. Finally, we have performed sentiment analysis on tweeter data for the movies titled kabali, Bharath Ane Nenu Mersal, and Dangal. User data for the movies are classified into positive, neutral and negative based on DBM and SVM. Sentiment scores are used as evaluation metrics. Results shows DBM is effective in classifying sentiments and produced better sentiment scores compared to SVM. Results are helpful in identifying popularity of the movies and audience feedback about the movies.
In this paper we presented a prototype for storing and accessing electricity usage details in cloud using IoT energy meter. Proposed system used energy meter with microcontroller to monitor electricity usage and transmits energy consumed details and cost to server. Users check hourly or daily usage of electricity and their cost online using simple web application. Prototype is experimented to check the electricity consumption details of a class room for five days. Based on Tamil Nadu government electricity board tariff rate for private educational institutions, seven rupees fifty paisa is set as per unit cost for energy used. Results show proposed prototype is effective in monitoring, storing, and accessing electricity usage details in cloud. Energy consumed details and their cost is frequently updated to server and user can access their hourly or daily electricity usage details along with cost in cloud. Proposed system reduces human intervention in monitoring energy meter readings and can save significant amounts of time and money.
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