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Natural Language Understanding API - Sentiment

This API can be used to automatically classify customer support log to โ€˜Satisfiedโ€™ and โ€˜Unsatisfiedโ€™ to gain customer support insights.

Sentiment

47% of consumers take sentiment (tonality of a reviewโ€™s text) of reviews into account in purchasing decisions. Our Sentiment API can automatically parses and gauges the severity of your customer feedbacks or support tickets based on positive, negative and neutral word usage.

SENTIMENT ANALYZER

Sentiment analyzer uses machine learning to reveal the structure and meaning of text. You can extract information about people, places, and events, and better understand customer sentiment.

INPUT TEXT

Korean
์˜ˆ์ œ๋ฅผ ์„ ํƒํ•ด ์ฃผ์„ธ์š”
์œ„์น˜๋„ ์ข‹๊ณ  ๊นจ๋—ํ•˜๊ณ  ๋‹ค ์ข‹์•˜์Šต๋‹ˆ๋‹ค~
์•„์นจ๋„ ํ•ญ์ƒ ์ •์„ฑ์Šค๋Ÿฝ๊ฒŒ ์ฐจ๋ ค์ฃผ์‹œ๊ณ  ๋ฐค๋Šฆ๊ฒŒ ์ง‘์— ๋“ค์–ด๊ฐ€๋„ ์ž˜ ๋งž์•„์ฃผ์…”์„œ ์ข‹์•˜์–ด์š”! ๋ฐฉ์œผ๋กœ ๋”ฐ๋œปํ•˜๊ฒŒ ํ–‡์‚ด์ด ๋“ค์–ด์˜ค๊ณ  ๋Ÿฐ๋˜์— ๋Œ€ํ•œ ์ข‹์€ ์ถ”์–ต์œผ๋กœ ๋‚จ์„ ๊ฒƒ ๊ฐ™์•„์š”~
๋น„๋ฆฐ๋‚ด๊ฐ€ ์‹ฌ๊ฐํ•ด์„œ ๋ฐฐ๊ฐ€ ์ •๋ง ๊ณ ํŒ ๋Š”๋ฐ ๋‹ค ๋ชป ๋จน์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋…ธํฌ๋ฅผ ์ข‹์•„ํ•˜์ง€๋งŒ ์ฒญ๊ฒฐํ•œ ๋…ธํฌ๊ฐ€ ์ข‹๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ์ด๋ ‡๊ฒŒ ์‹œ๋„๋Ÿฌ์šด ๊ณณ์€ ์ฒ˜์Œ์ด๋‹ค.
์ ‘๊ทผ์„ฑ๋„ ์ข‹๊ณ  ์ธํ…Œ๋ฆฌ์–ด ์ฒญ๊ฒฐ๋„ ๋ชจ๋‘ ํ›Œ๋ฅญํ•ด์š”~!
์œ„์น˜๋„ ํ›Œ๋ฅญํ•˜๊ณ  ๋ฐ”๊นฅ์œผ๋กœ ๋ณด์ด๋Š” ๋ฐ”๋‹ค ํ’๊ฒฝ์ด ๊ต‰์žฅํžˆ ์ข‹์•˜์Šต๋‹ˆ๋‹ค! ์ด ์ •๋„ ๊ฐ€๊ฒฉ์— ์ด๋Ÿฐ ์ˆ™์†Œ๋ฅผ ์ด์šฉํ•  ์ˆ˜ ์žˆ์–ด์„œ ๋„ˆ๋ฌด ์ข‹์•˜์Šต๋‹ˆ๋‹ค!

RESULT

Input text above or try analyzer with our example

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