Name
Abstract | ||
|---|---|---|
At current time social media seems to be an easy and popular media where parents of autistic kids, share and relate their experiences of families of children with ASD and build a social bonding. Semantic analysis of vast amounts of social media content such as blogs, tweets, and Facebook postings can be proved to be a cost effective, compelling and practical learning tool for what parents with autistic kids say about effective ways to deal with various challenges as experienced by the caretakers. The purpose of the current study is to provide a research-based understanding of social media conversations among families dealing with autism. Through such interactions, the study would further analyze the efficacy of the various forms of daily intervention strategies and therapies to help kids with ASD to cope with daily life challenges. Furthermore, by systematically analyzing the users’ interactions and feedback about an issue or a topic, strategic health messaging and the claims/arguments surrounding a health issue can be crafted with accuracy and sensitivity which can guide the care service provider to reduce costs and be more effective. |
Year | Venue | Field |
|---|---|---|
2015 | AAAI Spring Symposia | Autism,Internet privacy,Social media,Computer science,Sentiment analysis,Microblogging,Service provider,Artificial intelligence,Autism spectrum disorder,Social support,Multimedia,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit Saha | 1 | 3 | 2.76 |
| Nitin Agarwal | 2 | 629 | 62.97 |