{"id":479293,"date":"2023-08-09T10:32:55","date_gmt":"2023-08-09T10:32:55","guid":{"rendered":""},"modified":"2023-09-05T11:18:32","modified_gmt":"2023-09-05T11:18:32","slug":"text-summarization","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/text-summarization\/","title":{"rendered":"T\u00f3m t\u1eaft v\u0103n b\u1ea3n"},"content":{"rendered":"<p>T\u00f3m t\u1eaft v\u0103n b\u1ea3n l\u00e0 qu\u00e1 tr\u00ecnh t\u1ef1 \u0111\u1ed9ng t\u1ea1o ra m\u1ed9t phi\u00ean b\u1ea3n ng\u1eafn g\u1ecdn v\u00e0 m\u1ea1ch l\u1ea1c c\u1ee7a m\u1ed9t v\u0103n b\u1ea3n d\u00e0i h\u01a1n. C\u00f4ng ngh\u1ec7 n\u00e0y \u0111\u00e3 \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i tr\u00ean nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, bao g\u1ed3m tin t\u1ee9c, h\u1ecdc thu\u1eadt v\u00e0 kinh doanh, gi\u00fap m\u1ecdi ng\u01b0\u1eddi nhanh ch\u00f3ng n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c \u00fd ch\u00ednh c\u1ee7a m\u1ed9t t\u00e0i li\u1ec7u ho\u1eb7c m\u1ed9t b\u1ed9 s\u01b0u t\u1eadp t\u00e0i li\u1ec7u.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a vi\u1ec7c t\u00f3m t\u1eaft v\u0103n b\u1ea3n v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m t\u00f3m t\u1eaft v\u0103n b\u1ea3n c\u00f3 ngu\u1ed3n g\u1ed1c t\u1eeb gi\u1eefa th\u1ebf k\u1ef7 20, v\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a khoa h\u1ecdc m\u00e1y t\u00ednh v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP). Vi\u1ec7c \u0111\u1ec1 c\u1eadp \u0111\u1ebfn t\u00f3m t\u1eaft v\u0103n b\u1ea3n l\u1ea7n \u0111\u1ea7u ti\u00ean c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb \u0111\u1ea7u nh\u1eefng n\u0103m 1950 khi c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u b\u1eaft \u0111\u1ea7u kh\u00e1m ph\u00e1 c\u00e1c c\u00e1ch c\u00f4 \u0111\u1ecdng th\u00f4ng tin b\u1eb1ng thu\u1eadt to\u00e1n. M\u1ed9t v\u00ed d\u1ee5 \u0111\u00e1ng ch\u00fa \u00fd l\u00e0 v\u00e0o n\u0103m 1958, v\u1edbi c\u00f4ng tr\u00ecnh c\u1ee7a HP Luhn, ng\u01b0\u1eddi \u0111\u00e3 ph\u00e1t tri\u1ec3n m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p x\u00e1c \u0111\u1ecbnh c\u00e1c t\u1eeb quan tr\u1ecdng trong v\u0103n b\u1ea3n v\u00e0 t\u1ea1o ra m\u1ed9t b\u1ea3n t\u00f3m t\u1eaft t\u1ef1 \u0111\u1ed9ng.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 t\u00f3m t\u1eaft v\u0103n b\u1ea3n: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>T\u00f3m t\u1eaft v\u0103n b\u1ea3n th\u01b0\u1eddng \u0111\u01b0\u1ee3c ph\u00e2n th\u00e0nh hai lo\u1ea1i ch\u00ednh:<\/p>\n<ol>\n<li><strong>T\u00f3m t\u1eaft khai th\u00e1c<\/strong>: C\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y li\u00ean quan \u0111\u1ebfn vi\u1ec7c ch\u1ecdn to\u00e0n b\u1ed9 c\u00e2u ho\u1eb7c c\u1ee5m t\u1eeb tr\u1ef1c ti\u1ebfp t\u1eeb v\u0103n b\u1ea3n g\u1ed1c \u0111\u1ec3 t\u1ea1o th\u00e0nh b\u1ea3n t\u00f3m t\u1eaft.<\/li>\n<li><strong>T\u00f3m t\u1eaft tr\u1eebu t\u01b0\u1ee3ng<\/strong>: C\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y di\u1ec5n gi\u1ea3i v\u0103n b\u1ea3n g\u1ed1c, t\u1ea1o ra m\u1ed9t b\u1ea3n t\u00f3m t\u1eaft b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c c\u00e1ch di\u1ec5n \u0111\u1ea1t v\u00e0 c\u00e2u m\u1edbi.<\/li>\n<\/ol>\n<p>Qu\u00e1 tr\u00ecnh n\u00e0y d\u1ef1a tr\u00ean nhi\u1ec1u k\u1ef9 thu\u1eadt kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, h\u1ecdc m\u00e1y v\u00e0 h\u1ecdc s\u00e2u, \u0111\u1ec3 di\u1ec5n gi\u1ea3i, ph\u00e2n t\u00edch v\u00e0 t\u1ea1o l\u1ea1i v\u0103n b\u1ea3n \u1edf d\u1ea1ng t\u00f3m t\u1eaft.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a t\u00f3m t\u1eaft v\u0103n b\u1ea3n: C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/h2>\n<p>T\u00f3m t\u1eaft v\u0103n b\u1ea3n ho\u1ea1t \u0111\u1ed9ng b\u1eb1ng c\u00e1ch \u00e1p d\u1ee5ng m\u1ed9t s\u1ed1 b\u01b0\u1edbc:<\/p>\n<ol>\n<li><strong>S\u01a1 ch\u1ebf<\/strong>: L\u00e0m s\u1ea1ch v\u00e0 \u0111\u1ecbnh d\u1ea1ng v\u0103n b\u1ea3n.<\/li>\n<li><strong>M\u00e3 th\u00f4ng b\u00e1o<\/strong>: Chia nh\u1ecf v\u0103n b\u1ea3n th\u00e0nh c\u00e1c \u0111\u01a1n v\u1ecb nh\u1ecf h\u01a1n, ch\u1eb3ng h\u1ea1n nh\u01b0 t\u1eeb ho\u1eb7c c\u00e2u.<\/li>\n<li><strong>Ph\u00e2n t\u00edch<\/strong>: Hi\u1ec3u c\u1ea5u tr\u00fac, \u00fd ngh\u0129a v\u00e0 c\u00e1c kh\u00e1i ni\u1ec7m ch\u00ednh trong v\u0103n b\u1ea3n.<\/li>\n<li><strong>Khai th\u00e1c ho\u1eb7c t\u1ea1o<\/strong>: L\u1ef1a ch\u1ecdn (tr\u00edch xu\u1ea5t) ho\u1eb7c t\u1ea1o l\u1eadp (tr\u1eebu t\u01b0\u1ee3ng) n\u1ed9i dung cho ph\u1ea7n t\u00f3m t\u1eaft.<\/li>\n<li><strong>X\u1eed l\u00fd h\u1eadu k\u1ef3<\/strong>: Tinh ch\u1ec9nh ph\u1ea7n t\u00f3m t\u1eaft cho m\u1ea1ch l\u1ea1c v\u00e0 \u0111\u00fang ng\u1eef ph\u00e1p.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/h2>\n<p>M\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>M\u1ee9c \u0111\u1ed9 li\u00ean quan<\/strong>: N\u1eafm b\u1eaft nh\u1eefng th\u00f4ng tin quan tr\u1ecdng nh\u1ea5t.<\/li>\n<li><strong>s\u1ef1 ch\u00ednh x\u00e1c<\/strong>: Cung c\u1ea5p th\u00f4ng tin \u1edf d\u1ea1ng ng\u1eafn g\u1ecdn.<\/li>\n<li><strong>m\u1ea1ch l\u1ea1c<\/strong>: \u0110\u1ea3m b\u1ea3o r\u1eb1ng b\u1ea3n t\u00f3m t\u1eaft di\u1ec5n ra t\u1ef1 nhi\u00ean.<\/li>\n<li><strong>Kh\u00f4ng d\u01b0 th\u1eeba<\/strong>: Tr\u00e1nh l\u1eb7p l\u1ea1i th\u00f4ng tin.<\/li>\n<li><strong>Kh\u1ea3 n\u0103ng \u0111\u1ecdc<\/strong>: L\u00e0m cho ph\u1ea7n t\u00f3m t\u1eaft d\u1ec5 hi\u1ec3u.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/h2>\n<p>\u0110\u00e2y l\u00e0 b\u1ea3ng ph\u00e1c th\u1ea3o c\u00e1c lo\u1ea1i kh\u00e1c nhau:<\/p>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>khai th\u00e1c<\/td>\n<td>Ch\u1ecdn c\u00e2u tr\u1ef1c ti\u1ebfp t\u1eeb v\u0103n b\u1ea3n ngu\u1ed3n<\/td>\n<\/tr>\n<tr>\n<td>tr\u1eebu t\u01b0\u1ee3ng<\/td>\n<td>Di\u1ec5n gi\u1ea3i v\u00e0 c\u00f4 \u0111\u1ecdng th\u00f4ng tin d\u01b0\u1edbi d\u1ea1ng m\u1edbi<\/td>\n<\/tr>\n<tr>\n<td>D\u1ef1a tr\u00ean truy v\u1ea5n<\/td>\n<td>T\u1ea1o b\u1ea3n t\u00f3m t\u1eaft d\u1ef1a tr\u00ean m\u1ed9t truy v\u1ea5n ho\u1eb7c c\u00e2u h\u1ecfi c\u1ee5 th\u1ec3<\/td>\n<\/tr>\n<tr>\n<td>Nhi\u1ec1u t\u00e0i li\u1ec7u<\/td>\n<td>T\u00f3m t\u1eaft th\u00f4ng tin t\u1eeb nhi\u1ec1u t\u00e0i li\u1ec7u<\/td>\n<\/tr>\n<tr>\n<td>T\u00e0i li\u1ec7u \u0111\u01a1n<\/td>\n<td>T\u00f3m t\u1eaft th\u00f4ng tin t\u1eeb m\u1ed9t t\u00e0i li\u1ec7u duy nh\u1ea5t<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng t\u00f3m t\u1eaft v\u0103n b\u1ea3n, v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<h3>C\u00f4ng d\u1ee5ng:<\/h3>\n<ul>\n<li><strong>Nghi\u00ean c\u1ee9u h\u1ecdc thu\u1eadt<\/strong>: T\u1ed5ng h\u1ee3p c\u00e1c b\u00e0i b\u00e1o, b\u00e0i vi\u1ebft.<\/li>\n<li><strong>T\u1ed5ng h\u1ee3p tin t\u1ee9c<\/strong>: C\u00f4 \u0111\u1ecdng c\u00e1c c\u00e2u chuy\u1ec7n tin t\u1ee9c.<\/li>\n<li><strong>Kinh doanh th\u00f4ng minh<\/strong>: T\u00f3m t\u1eaft c\u00e1c b\u00e1o c\u00e1o v\u00e0 th\u00f4ng tin chi ti\u1ebft.<\/li>\n<li><strong>Qu\u1ea3n l\u00fd n\u1ed9i dung<\/strong>: Cung c\u1ea5p c\u00e1i nh\u00ecn t\u1ed5ng quan nhanh ch\u00f3ng v\u1ec1 n\u1ed9i dung.<\/li>\n<\/ul>\n<h3>C\u00e1c v\u1ea5n \u0111\u1ec1:<\/h3>\n<ul>\n<li><strong>M\u1ea5t s\u1eafc th\u00e1i<\/strong>: Thi\u1ebfu chi ti\u1ebft tinh t\u1ebf.<\/li>\n<li><strong>Thi\u00ean ki\u1ebfn<\/strong>: Kh\u1ea3 n\u0103ng mang sai l\u1ec7ch t\u1eeb v\u0103n b\u1ea3n g\u1ed1c.<\/li>\n<\/ul>\n<h3>C\u00e1c gi\u1ea3i ph\u00e1p:<\/h3>\n<ul>\n<li>S\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n n\u00e2ng cao h\u01a1n.<\/li>\n<li>Xem x\u00e9t v\u00e0 ch\u1ec9nh s\u1eeda th\u1ee7 c\u00f4ng.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>T\u00ednh n\u0103ng<\/th>\n<th>T\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/th>\n<th>Di\u1ec5n gi\u1ea3i v\u0103n b\u1ea3n<\/th>\n<th>D\u1ecbch v\u0103n b\u1ea3n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>M\u1ee5c \u0111\u00edch<\/td>\n<td>ng\u01b0ng t\u1ee5<\/td>\n<td>Vi\u1ebft l\u1ea1i t\u1eeb ng\u1eef<\/td>\n<td>Thay \u0111\u1ed5i ng\u00f4n ng\u1eef<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u1ed9 ph\u1ee9c t\u1ea1p<\/td>\n<td>Cao<\/td>\n<td>Trung b\u00ecnh<\/td>\n<td>Cao<\/td>\n<\/tr>\n<tr>\n<td>S\u1eed d\u1ee5ng k\u1ef9 thu\u1eadt AI<\/td>\n<td>\u0110\u00fang<\/td>\n<td>\u0110\u00fang<\/td>\n<td>\u0110\u00fang<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/h2>\n<p>Nh\u1eefng ph\u00e1t tri\u1ec3n trong t\u01b0\u01a1ng lai c\u00f3 th\u1ec3 bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>M\u00f4 h\u00ecnh AI n\u00e2ng cao<\/strong>: S\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh ph\u1ee9c t\u1ea1p h\u01a1n nh\u01b0 GPT-4 \u0111\u1ec3 c\u00f3 b\u1ea3n t\u00f3m t\u1eaft t\u1ed1t h\u01a1n.<\/li>\n<li><strong>T\u00f3m t\u1eaft th\u1eddi gian th\u1ef1c<\/strong>: Cung c\u1ea5p b\u1ea3n t\u00f3m t\u1eaft t\u1ee9c th\u1eddi.<\/li>\n<li><strong>T\u00f3m t\u1eaft \u0111\u01b0\u1ee3c c\u00e1 nh\u00e2n h\u00f3a<\/strong>: \u0110i\u1ec1u ch\u1ec9nh t\u00f3m t\u1eaft theo s\u1edf th\u00edch c\u00e1 nh\u00e2n.<\/li>\n<\/ul>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi vi\u1ec7c t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/h2>\n<p>C\u00e1c m\u00e1y ch\u1ee7 proxy nh\u01b0 OneProxy c\u00f3 th\u1ec3 \u0111\u00f3ng vai tr\u00f2 t\u00f3m t\u1eaft v\u0103n b\u1ea3n b\u1eb1ng c\u00e1ch:<\/p>\n<ul>\n<li><strong>Thu th\u1eadp d\u1eef li\u1ec7u<\/strong>: T\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c thu th\u1eadp b\u1ed9 d\u1eef li\u1ec7u l\u1edbn cho c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o.<\/li>\n<li><strong>B\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0<\/strong>: \u0110\u1ea3m b\u1ea3o r\u1eb1ng th\u00f4ng tin ng\u01b0\u1eddi d\u00f9ng \u0111\u01b0\u1ee3c \u1ea9n danh trong qu\u00e1 tr\u00ecnh t\u00f3m t\u1eaft.<\/li>\n<li><strong>B\u1ea3n \u0111\u1ecba h\u00f3a n\u1ed9i dung<\/strong>: Cung c\u1ea5p c\u00e1c b\u1ea3n t\u00f3m t\u1eaft \u0111\u01b0\u1ee3c b\u1ea3n \u0111\u1ecba h\u00f3a b\u1eb1ng c\u00e1ch truy c\u1eadp n\u1ed9i dung theo v\u00f9ng c\u1ee5 th\u1ec3 th\u00f4ng qua proxy.<\/li>\n<\/ul>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.example.com\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u v\u1ec1 t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/a><\/li>\n<li><a href=\"https:\/\/www.research.com\" target=\"_new\" rel=\"noopener nofollow\">Nghi\u00ean c\u1ee9u m\u1edbi nh\u1ea5t v\u1ec1 t\u00f3m t\u1eaft v\u0103n b\u1ea3n<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/\" target=\"_new\" rel=\"noopener\">OneProxy: Proxy t\u0103ng c\u01b0\u1eddng x\u1eed l\u00fd d\u1eef li\u1ec7u nh\u01b0 th\u1ebf n\u00e0o<\/a><\/li>\n<\/ul>\n<p>T\u1ed5ng quan to\u00e0n di\u1ec7n v\u1ec1 t\u00f3m t\u1eaft v\u0103n b\u1ea3n n\u00e0y cung c\u1ea5p n\u1ec1n t\u1ea3ng v\u1eefng ch\u1eafc \u0111\u1ec3 hi\u1ec3u c\u00f4ng ngh\u1ec7 n\u0103ng \u0111\u1ed9ng v\u00e0 thi\u1ebft y\u1ebfu n\u00e0y, bao g\u1ed3m c\u1ea3 s\u1ef1 li\u00ean k\u1ebft c\u1ee7a n\u00f3 v\u1edbi c\u00e1c m\u00e1y ch\u1ee7 proxy nh\u01b0 OneProxy. D\u00f9 cho m\u1ee5c \u0111\u00edch h\u1ecdc thu\u1eadt, ngh\u1ec1 nghi\u1ec7p hay c\u00e1 nh\u00e2n, vi\u1ec7c t\u00f3m t\u1eaft v\u0103n b\u1ea3n v\u1eabn ti\u1ebfp t\u1ee5c \u0111\u1ecbnh h\u00ecnh c\u00e1ch ch\u00fang ta ti\u1ebfp nh\u1eadn v\u00e0 hi\u1ec3u th\u00f4ng tin trong th\u1eddi \u0111\u1ea1i k\u1ef9 thu\u1eadt s\u1ed1.<\/p>","protected":false},"featured_media":470669,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479293","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Text Summarization: An In-Depth Exploration<\/mark>","faq_items":[{"question":"What is Text Summarization?","answer":"<p>Text summarization is the process of automatically generating a concise and coherent version of a longer text. It's utilized in various domains such as news, academia, and business to help individuals quickly understand the main ideas of a document or a collection of documents.<\/p>"},{"question":"What are the two main types of Text Summarization?","answer":"<p>The two main types of text summarization are Extractive and Abstractive. Extractive summarization involves selecting entire sentences or phrases directly from the original text, while Abstractive summarization involves paraphrasing the original text using new expressions and sentences.<\/p>"},{"question":"How does Text Summarization work?","answer":"<p>Text summarization works through several steps including preprocessing the text, tokenizing it into smaller units, analyzing its structure and meaning, extracting or generating content for the summary, and postprocessing to refine the summary for coherence and grammatical correctness.<\/p>"},{"question":"What are the key features of Text Summarization?","answer":"<p>The key features of text summarization include relevance, conciseness, coherence, non-redundancy, and readability. These features ensure that the summary accurately represents the main ideas of the original text in a brief and understandable manner.<\/p>"},{"question":"What are some of the ways to use Text Summarization, and what problems might arise?","answer":"<p>Text summarization is used in academic research, news aggregation, business intelligence, and content management. Problems might include loss of nuanced information or the potential to carry over biases from the original text. Solutions can involve using advanced algorithms and manual review.<\/p>"},{"question":"How are proxy servers like OneProxy associated with Text Summarization?","answer":"<p>Proxy servers like OneProxy can be used in text summarization for data collection, privacy protection, and content localization. They facilitate the collection of large datasets for training models, ensure user anonymity, and provide localized summaries by accessing region-specific content.<\/p>"},{"question":"What are some future perspectives and technologies related to Text Summarization?","answer":"<p>Future developments in text summarization might include the use of advanced AI models like GPT-4, real-time summarization, and personalized summaries tailored to individual preferences. These advancements will further enhance the efficiency and effectiveness of text summarization processes.<\/p>"},{"question":"What's the difference between Text Summarization, Text Paraphrasing, and Text Translation?","answer":"<p>Text Summarization aims to condense text, Text Paraphrasing aims to reword text, and Text Translation aims to change the language of the text. While summarization and paraphrasing may involve rewriting, translation focuses on converting the text into another language, and summarization specifically aims to reduce the length while retaining the main ideas.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/479293","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/479293\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/470669"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=479293"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}