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Natural Language Understanding API - Sentiment

This API can be used to automatically classify customer support log to β€˜Satisfied’ and β€˜Unsatisfied’ to gain customer support insights.

Sentiment

47% of consumers take sentiment (tonality of a review’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
예제λ₯Ό 선택해 μ£Όμ„Έμš”
색이 예뻐 λ³΄μ—¬μ„œ μƒ€λŠ”λ° λ§ˆμŒμ— λ“€μ–΄μš”! μ‚¬μ΄μ¦ˆλ„ 잘 λ§žμ•„μš”~
배솑 λŠ¦μ–΄μ Έμ„œ μ·¨μ†Œμš”μ²­ν–ˆλ”λ‹ˆ κ²°κ΅­ μ˜·μ™€μ„œ λ΄€λŠ”λ° λ‹€ ꡬ겨지고 μ˜·λ„ λ„ˆλ¬΄ μ»€μ„œ λ‹€μ‹œ λ°˜ν’ˆμš”μ²­ ν–ˆμ–΄μš”. 정말 μ§œμ¦λ‚˜λ„€μš”.
λ„ˆλ¬΄ μ˜ˆλ»μš”γ… γ…  μž¬μ§ˆλ„ λ§ˆμŒμ— λ“€κ³  μ˜ˆλ»μš” 배솑도 μ•„μ£Ό λΉ¨λΌμš”!
색깔이 닀홍색에 κ°€κΉŒμ›Œμ„œ 색깔은 제 μ·¨ν–₯이 μ•„λ‹ˆλ„€μš”..γ…  μ’€ μ•„μ‰¬μ›Œμš”
바지가 μ—„μ²­ νŽΈν•΄μš”! μ°©μš©κ°λ„ μ’‹κ³  핏도 이쁘게 λ§Œλ“€μ–΄μ€˜μš”~ λ‹€μŒμ—λŠ” 흰색도 μ‚¬μ•Όκ² μ–΄μš”

RESULT

Input text above or try analyzer with our example

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