Finding Semantic Similarity Classification through Social Media Networks |
Author(s): |
| S. Preethi , VALLIAMMAI ENGINEERING COLLEGE,SRM NAGAR,KATTANKULATHUR,KANCHEEPURAM DISTRICT,TAMIL NADU, INDIA.; Mrs. G. Sangeetha, VALLIAMMAI ENGINEERING COLLEGE,SRM NAGAR,KATTANKULATHUR,KANCHEEPURAM DISTRICT,TAMIL NADU,INDIA. |
Keywords: |
| neural network, semantic similarity, pinterest, semi-automatic |
Abstract |
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The social media network is becoming more advanced and their information is growing faster and easier. Now we can see about how the social media is related by text, images, audio, and videos. The computer vision grows the classifications among pinterest, neural networks, and smartphones. Through this images are quickly shared to users by two ways, they are 1) finding the images of event in a semiautomatic. 2) Classify the type of event and image. The main important context based image retrieval is, it is used to retrieve the image easily and upload it in such a way that it provides time reduction to user also the images are measured and compared through semantic similarities. The social media is present to increase the information by storing the database and receiving the images, videos by one by one to each user and time reduced by user. |
Other Details |
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Paper ID: IJSRDV4I120287 Published in: Volume : 4, Issue : 12 Publication Date: 01/03/2017 Page(s): 546-548 |
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