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V\u1edbi s\u1ee9 m\u1ec7nh n\u00e2ng cao tr\u1ea3i nghi\u1ec7m kh\u00e1ch h\u00e0ng Vi\u1ec7t Nam, VNLP cung c\u1ea5p gi\u1ea3i ph\u00e1p x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean \u1ee9ng d\u1ee5ng cao cho nhi\u1ec1u l\u0129nh v\u1ef1c gi\u00fap doanh nghi\u1ec7p c\u1ea3i ti\u1ebfn quy tr\u00ecnh kinh doanh, n\u00e2ng cao ch\u1ea5t l\u01b0\u1ee3ng d\u1ecbch v\u1ee5 t\u1eeb \u0111\u00f3 gi\u00fap t\u0103ng doanh thu v\u00e0 gi\u1ea3m chi ph\u00ed.<\/span><\/p>\n

Contents<\/p>

1<\/span> V\u00ec sao x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean quan tr\u1ecdng<\/a><\/li>
2<\/span> C\u00f4ng ngh\u1ec7 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean c\u1ee7a VNLP c\u00f3 g\u00ec kh\u00e1c bi\u1ec7t<\/a>
- 2.1<\/span> VNLP chuy\u00ean x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean thu\u1ea7n Vi\u1ec7t<\/a><\/li><\/ul><\/li><\/ul><\/div>\n
  V\u00ec sao x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean quan tr\u1ecdng<\/b><\/span><\/span><\/h3>\n
  X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean<\/i><\/b><\/span> (<\/span>natural language processing<\/span><\/i> – NLP) l\u00e0 nh\u00e1nh kh\u00f3 nh\u1ea5t c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) v\u00ec n\u00f3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c hi\u1ec3u \u00fd ngh\u0129a c\u1ee7a ng\u00f4n ng\u1eef giao ti\u1ebfp v\u00e0 t\u01b0 duy. C\u00f3 th\u1ec3 hi\u1ec3u NLP nh\u01b0 l\u00e0 m\u1ed9t c\u00f4ng ngh\u1ec7 gi\u00fap cho m\u00e1y t\u00ednh hi\u1ec3u \u0111\u01b0\u1ee3c ng\u00f4n ng\u1eef giao ti\u1ebfp h\u00e0ng ng\u00e0y c\u1ee7a con ng\u01b0\u1eddi, k\u1ec3 c\u1ea3 gi\u1ecdng n\u00f3i l\u1eabn ch\u1eef vi\u1ebft.<\/span><\/p>\n
  $\"Th\u00e1ch$
  Th\u00e1ch th\u1ee9c c\u1ee7a doanh nghi\u1ec7p trong th\u1eddi \u0111\u1ea1i kinh doanh 4.0<\/strong><\/em><\/figcaption><\/figure>\n
  <\/p>\n
  Trong th\u1eddi \u0111\u1ea1i 4.0 nh\u01b0 hi\u1ec7n nay, x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP) \u0111\u00f3ng vai tr\u00f2 v\u00f4 c\u00f9ng quan tr\u1ecdng. C\u00f3 th\u1ec3 n\u00f3i NLP \u0111\u00e3 v\u00e0 \u0111ang t\u00e1c \u0111\u1ed9ng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn g\u1ea7n nh\u01b0 m\u1ecdi l\u0129nh v\u1ef1c trong cu\u1ed9c s\u1ed1ng h\u00e0ng ng\u00e0y. Trong \u0111\u00f3 c\u00f3 th\u1ec3 k\u1ec3 \u0111\u1ebfn m\u1ed9t s\u1ed1 \u1ee9ng d\u1ee5ng nh\u01b0 tr\u1ee3 l\u00fd \u1ea3o, nh\u1eadn di\u1ec7n gi\u1ecdng n\u00f3i, d\u1ecbch thu\u1eadt \u2026\u00a0<\/span><\/p>\n
  Vi\u1ec7c hi\u1ec3u \u0111\u01b0\u1ee3c ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean c\u1ee7a con ng\u01b0\u1eddi s\u1ebd cho ph\u00e9p m\u00e1y t\u00ednh gi\u00fap \u0111\u1ee1 con ng\u01b0\u1eddi r\u1ea5t nhi\u1ec1u c\u00f4ng vi\u1ec7c, t\u1eeb \u0111\u00f3 t\u1ea1o ra nh\u1eefng t\u00e1c \u0111\u1ed9ng t\u00edch c\u1ef1c nh\u01b0:\u00a0<\/span><\/p>\n
  \n
  Gi\u1ea3m thi\u1ec3u kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c, gia t\u0103ng n\u0103ng su\u1ea5t lao \u0111\u1ed9ng.<\/span><\/li>\n
  N\u00e2ng cao ch\u1ea5t l\u01b0\u1ee3ng d\u1ecbch v\u1ee5, mang l\u1ea1i tr\u1ea3i nghi\u1ec7m kh\u00e1ch h\u00e0ng t\u1ed1t h\u01a1n.<\/span><\/li>\n
  T\u1ef1 \u0111\u1ed9ng h\u00f3a, c\u00e1 nh\u00e2n h\u00f3a …<\/span><\/li>\n<\/ul>\n
  $\"NLP$
  NLP \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong chuy\u1ec3n \u0111\u1ed5i s\u1ed1 kinh doanh<\/figcaption><\/figure>\n
  C\u00f4ng ngh\u1ec7<\/b> x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean c\u1ee7a VNLP c\u00f3 g\u00ec kh\u00e1c bi\u1ec7t<\/b><\/span><\/span><\/h3>\n
  X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean th\u1eadt ra \u0111\u00e3 \u0111\u01b0\u1ee3c nghi\u00ean c\u1ee9u v\u00e0 \u1ee9ng d\u1ee5ng \u1edf nhi\u1ec1u n\u01a1i tr\u00ean th\u1ebf gi\u1edbi c\u00e1ch \u0111\u00e2y h\u00e0ng ch\u1ee5c n\u0103m. Nh\u1eefng n\u0103m g\u1ea7n \u0111\u00e2y c\u1ea3 th\u1ebf gi\u1edbi \u0111\u00e3 \u0111\u01b0\u1ee3c ch\u1ee9ng ki\u1ebfn s\u1ef1 n\u1edf r\u1ed9 c\u1ee7a c\u00e1c \u1ee9ng d\u1ee5ng nh\u01b0 Siri, Google d\u1ecbch, Alexa \u2026 \u0110\u00f3 \u0111\u1ec1u l\u00e0 th\u00e0nh t\u1ef1u c\u1ee7a c\u00f4ng cu\u1ed9c ph\u00e1t tri\u1ec3n NLP l\u00e0 c\u00f4ng ngh\u1ec7 h\u1ecdc m\u00e1y (Machine Learning). Tuy nhi\u00ean h\u1ea7u h\u1ebft c\u00e1c \u1ee9ng d\u1ee5ng n\u00e0y ch\u1ec9 t\u1ed1i \u01b0u cho ti\u1ebfng Anh, c\u00f2n t\u1ea1i Vi\u1ec7t Nam, kh\u00f4ng nhi\u1ec1u \u0111\u01a1n v\u1ecb t\u1eadp trung ph\u00e1t tri\u1ec3n m\u1ea3ng n\u00e0y d\u00e0nh cho ti\u1ebfng Vi\u1ec7t.<\/span><\/p>\n
  $\"\"$ <\/p>\n
  VNLP chuy\u00ean x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean thu\u1ea7n Vi\u1ec7t<\/i><\/b><\/span><\/span><\/h4>\n
  VNLP l\u00e0 c\u00f4ng ngh\u1ec7 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean thu\u1ed9c EM&AI – c\u00f4ng ty ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m v\u00e0 \u1ee9ng d\u1ee5ng \u0111i ti\u00ean phong trong vi\u1ec7c nghi\u00ean c\u1ee9u chuy\u00ean s\u00e2u c\u00f4ng ngh\u1ec7 ph\u00e2n t\u00edch ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean NLP ti\u1ebfng Vi\u1ec7t v\u00e0 m\u00e1y h\u1ecdc ML.<\/span><\/p>\n
  V\u1edbi s\u1ef1 ph\u1ee9c t\u1ea1p c\u1ee7a ti\u1ebfng Vi\u1ec7t, s\u1ebd kh\u00f3 kh\u0103n h\u01a1n \u0111\u1ec3 m\u00e1y t\u00ednh c\u00f3 th\u1ec3 nh\u1eadn di\u1ec7n \u0111\u01b0\u1ee3c ng\u00f4n ng\u1eef giao ti\u1ebfp c\u1ee7a ng\u01b0\u1eddi Vi\u1ec7t. \u0110\u1ed9 ng\u0169 VNLP t\u1eadp trung ph\u00e1t tri\u1ec3n b\u1ed9 ng\u1eef li\u1ec7u d\u00e0nh ri\u00eang cho ng\u00f4n ng\u1eef ti\u1ebfng Vi\u1ec7t, <\/span>c\u00e1c nguy\u00ean l\u00fd th\u1ed1ng k\u00ea, v\u00e0 thu\u1eadt to\u00e1n m\u1ea1ng n\u01a1 ron.<\/span>\u00a0<\/span><\/p>\n
  Hi\u1ec7n t\u1ea1i h\u1ec7 th\u1ed1ng VNLP c\u00f3 kh\u1ea3 n\u0103ng nh\u1eadn di\u1ec7n \u0111\u01b0\u1ee3c t\u1eeb ng\u1eef \u0111\u1ecba ph\u01b0\u01a1ng, t\u1eeb vi\u1ebft t\u1eaft, teen code, \u0111\u1ed3ng th\u1eddi hi\u1ec3u \u0111\u01b0\u1ee3c \u00fd ngh\u0129a c\u1ee7a t\u1eeb \u0111\u1eb7t trong ng\u1eef c\u1ea3nh nh\u1ea5t \u0111\u1ecbnh.<\/span><\/p>\n
  VNLP nh\u1eadn di\u1ec7n c\u1ea3m x\u00fac c\u00e2u n\u00f3i ch\u00ednh x\u00e1c \u0111\u1ebfn 93% cao nh\u1ea5t hi\u1ec7n nay<\/i><\/b><\/span><\/p>\n
  Vi\u1ec7c \u0111\u00e1nh gi\u00e1 c\u1ea3m x\u00fac ng\u01b0\u1eddi d\u00f9ng d\u1ef1a tr\u00ean tone gi\u1ecdng hay v\u0103n b\u1ea3n l\u00e0 m\u1ed9t trong nh\u1eefng ph\u1ea7n kh\u00f3 nh\u1ea5t c\u1ee7a NLP. Tuy nhi\u00ean vi\u1ec7c \u0111\u00e1nh gi\u00e1 n\u00e0y l\u1ea1i v\u00f4 c\u00f9ng h\u1eefu \u00edch cho r\u1ea5t nhi\u1ec1u doanh nghi\u1ec7p mu\u1ed1n l\u1eafng nghe kh\u00e1ch h\u00e0ng n\u00f3i g\u00ec v\u1ec1 th\u01b0\u01a1ng hi\u1ec7u c\u1ee7a h\u1ecd c\u0169ng nh\u01b0 \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh.\u00a0<\/span><\/p>\n
  VNLP cung c\u1ea5p m\u1ed9t h\u1ec7 th\u1ed1ng \u0111\u00e1nh gi\u00e1 Sentiment (C\u1ea3m x\u00fac) cao nh\u1ea5t th\u1ecb tr\u01b0\u1eddng hi\u1ec7n nay l\u00ean \u0111\u1ebfn 93%. \u0110\u1ea3m b\u1ea3o cho ra k\u1ebft qu\u1ea3 \u0111\u00e1nh gi\u00e1 ch\u00ednh x\u00e1c v\u00e0 nhanh ch\u00f3ng.<\/span><\/p>\n
  VNLP x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean thu\u1ea7n Vi\u1ec7t v\u1edbi b\u1ed9 ng\u1eef li\u1ec7u \u0111a d\u1ea1ng l\u0129nh v\u1ef1c<\/i><\/b><\/span><\/p>\n
  Kh\u00f4ng ch\u1ec9 d\u1eebng l\u1ea1i \u1edf vi\u1ec7c x\u1eed l\u00fd ng\u00f4n ng\u1eef giao ti\u1ebfp th\u00f4ng d\u1ee5ng h\u00e0ng ng\u00e0y, VNLP c\u00f2n t\u1eadp trung x\u1eed l\u00fd ng\u00f4n ng\u1eef chuy\u00ean ng\u00e0nh chuy\u00ean bi\u1ec7t cho nhi\u1ec1u ng\u00e0nh h\u00e0ng l\u0129nh v\u1ef1c kh\u00e1c nhau. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p h\u1ec7 th\u1ed1ng c\u1ee7a VNLP c\u00f3 th\u1ec3 nh\u1eadn di\u1ec7n v\u00e0 hi\u1ec3u ng\u00f4n ng\u1eef c\u1ee7a t\u1eebng ng\u00e0nh h\u00e0ng c\u1ee5 th\u1ec3.\u00a0<\/span><\/p>\n
  VNLP v\u1eabn \u0111ang c\u1eadp nh\u1eadt kh\u00f4ng ng\u1eebng b\u1ed9 ng\u1eef li\u1ec7u c\u1ee7a nhi\u1ec1u ng\u00e0nh h\u00e0ng h\u01a1n m\u1ed7i ng\u00e0y.<\/span><\/p>\n
  V\u1edbi nh\u1eefng \u01b0u \u0111i\u1ec3m v\u01b0\u1ee3t tr\u1ed9i c\u1ee7a m\u00ecnh, VNLP ho\u00e0n to\u00e0n t\u1ef1 tin c\u00f3 th\u1ec3 gi\u00fap doanh nghi\u1ec7p n\u00e2ng cao \u0111\u01b0\u1ee3c ch\u1ea5t l\u01b0\u1ee3ng d\u1ecbch v\u1ee5, n\u00e2ng cao n\u0103ng su\u1ea5t lao \u0111\u1ed9ng t\u1ea1o ti\u1ec1n \u0111\u1ec1 \u0111\u1ec3 doanh nghi\u1ec7p b\u1ee9t ph\u00e1 trong th\u1eddi \u0111\u1ea1i 4.0.\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n
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  <\/p>\n","protected":false},"excerpt":{"rendered":"
  V\u1edbi s\u1ee9 m\u1ec7nh n\u00e2ng cao tr\u1ea3i nghi\u1ec7m kh\u00e1ch h\u00e0ng Vi\u1ec7t Nam, VNLP cung c\u1ea5p gi\u1ea3i…<\/p>\n","protected":false},"author":2,"featured_media":917,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[108],"tags":[254,246,256,252,248,203,244,193,250],"_links":{"self":[{"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/posts\/663"}],"collection":[{"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/comments?post=663"}],"version-history":[{"count":5,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/posts\/663\/revisions"}],"predecessor-version":[{"id":919,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/posts\/663\/revisions\/919"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/media\/917"}],"wp:attachment":[{"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/media?parent=663"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/categories?post=663"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/emandai.net\/blog\/wp-json\/wp\/v2\/tags?post=663"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}