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| Content Provider | ACM Digital Library |
|---|---|
| Author | Lee, Sung-Ju Ko, JeongGil Kim, Joon-Gyum |
| Abstract | Text based communication has become the most popular form of communication using smartphones. We believe that suggesting images while typing is will innovate the mobile text communication. We suggest real-time autonomous image suggestion system based on natural language processing, sentiment analysis, machine learning, human computer interaction, networking and systems. MiliiCat is a mobile messaging API service that autonomously suggests images with real-time based on chat context to improve emotion expression, nuance delivery, and information delivery of a conversation. This system shows a solution to the text communication in mobile environment by reducing latency and data consumption. |
| Starting Page | 108 |
| Ending Page | 108 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781450344166 |
| DOI | 10.1145/2938559.2938585 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-06-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Mobile messaging |
| Content Type | Text |
| Resource Type | Article |
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