In this paper we have used sentiment analysis on news articles to see its effect on stock prices. We collected our dataset using Bing API which gave us links to news articles about a specific company. As no pre-existing sentiment dictionary specifically for stock articles exited, we created a specialized sentiment dictionary only meant to analyze stock articles. Two different machine learning algorithms were applied to the dataset and the accuracy of the two was compared. In order to test our results we attached an overall sentiment to each article in our data set which was compared to the predicted sentiment by the algorithm. We also compared the predicted results with the actual change in the stock prices on the market.
Twitter is a microblogging website where people can share their feelings quickly and spontaneously by sending a tweets limited by 280 characters. You can directly address a tweet to someone by adding the target sign "@" or participate to a topic by adding an hashtag "#" to your tweet. Here specific hashtag (#) based tweets are downloaded using tweepy and they are cleansed for removal of irrelevant data then Entity Recognition is performed using the NER Algorithm which specifies different entities belonging to that tweet eg person, place, organization, etc. and finally sentiment analysis is performed where we analyze the general sentiment that can either be positive, negative or neutral at the entity level.
General TermsNamed entity recognition, Sentimental analysis.
The embedded system and RTOS are reaching beyond the norms of innovations, the prospects of security and demanding protection against various threats has been widened immensely. This paper represents the most integrated and customized advanced Android based Real time Video Surveillance System in order to secure and protect what matter the most to the user. The main objective of this system is to monitor the area where the webcam is set up. The user will receive live notification if a motion is detected, if any unusual activity is identified, the user will be directly redirected to the emergency service number. The notification is done through Google Cloud Messaging. Our research focuses on the entire processing of the system.
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