Human-Centered Social Media Analytics

ยท Springer Science & Business Media
eBook
208
ํŽ˜์ด์ง€
๊ฒ€์ฆ๋˜์ง€ ์•Š์€ ํ‰์ ๊ณผ ๋ฆฌ๋ทฐ์ž…๋‹ˆ๋‹ค. ย ์ž์„ธํžˆ ์•Œ์•„๋ณด๊ธฐ

eBook ์ •๋ณด

This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.

์ด eBook ํ‰๊ฐ€

์˜๊ฒฌ์„ ์•Œ๋ ค์ฃผ์„ธ์š”.

์ฝ๊ธฐ ์ •๋ณด

์Šค๋งˆํŠธํฐ ๋ฐ ํƒœ๋ธ”๋ฆฟ
Android ๋ฐ iPad/iPhone์šฉ Google Play ๋ถ ์•ฑ์„ ์„ค์น˜ํ•˜์„ธ์š”. ๊ณ„์ •๊ณผ ์ž๋™์œผ๋กœ ๋™๊ธฐํ™”๋˜์–ด ์–ด๋””์„œ๋‚˜ ์˜จ๋ผ์ธ ๋˜๋Š” ์˜คํ”„๋ผ์ธ์œผ๋กœ ์ฑ…์„ ์ฝ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๋…ธํŠธ๋ถ ๋ฐ ์ปดํ“จํ„ฐ
์ปดํ“จํ„ฐ์˜ ์›น๋ธŒ๋ผ์šฐ์ €๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Google Play์—์„œ ๊ตฌ๋งคํ•œ ์˜ค๋””์˜ค๋ถ์„ ๋“ค์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
eReader ๋ฐ ๊ธฐํƒ€ ๊ธฐ๊ธฐ
Kobo eReader ๋“ฑ์˜ eBook ๋ฆฌ๋”๊ธฐ์—์„œ ์ฝ์œผ๋ ค๋ฉด ํŒŒ์ผ์„ ๋‹ค์šด๋กœ๋“œํ•˜์—ฌ ๊ธฐ๊ธฐ๋กœ ์ „์†กํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ง€์›๋˜๋Š” eBook ๋ฆฌ๋”๊ธฐ๋กœ ํŒŒ์ผ์„ ์ „์†กํ•˜๋ ค๋ฉด ๊ณ ๊ฐ์„ผํ„ฐ์—์„œ ์ž์„ธํ•œ ์•ˆ๋‚ด๋ฅผ ๋”ฐ๋ฅด์„ธ์š”.