Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; image summarization finds the most representative images within an image collection; video summarization extracts the most important frames from the video content.

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  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; image summarization finds the most representative images within an image collection; video summarization extracts the most important frames from the video content. (en)
  • The new assembly and the new cabinet ‏There is widespread consensus among historians that the Democratic Party’s landslide election victory in May 1950 is a watershed in modern Turkish political history. The character both of the new assembly, in which the DP held an overwhelming majority , and of the new government was very different from the old.‏When one looks at the social characteristics of the DP represen- tatives, one is struck by a number of differences from those of the Kemalist period. It was clear that a significantly different section of Turkey’s elite had come to power.1‏One of the first things the new assembly did was to elect Celâl Bayar president of the republic. There was very little debate about his can- didature: he was the founder of the new party, he had a record as a statesman going back to the days of Atatürk and he was widely regarded as a moderate. ‏Under the RPP the state apparatus and the party machine had been merged to the extent that one could say that the party was just one of the instruments through which the state controlled and steered society (en)
  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; various methods of image summarization are also the subject of research; video summarization extracts the most important frames from the video content. (en)
  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; various methods of image summarization are the subject of ongoing research; video summarization extracts the most important frames from the video content. (en)
  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; various methods of image summarization are the subject of ongoing research, with some looking to display the most representative images from a given collection or generating a video; video summarization extracts the most important frames from the video content. (en)
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  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; image summarization finds the most representative images within an image collection; video summarization extracts the most important frames from the video content. (en)
  • The new assembly and the new cabinet ‏There is widespread consensus among historians that the Democratic Party’s landslide election victory in May 1950 is a watershed in modern Turkish political history. The character both of the new assembly, in which the DP held an overwhelming majority , and of the new government was very different from the old.‏When one looks at the social characteristics of the DP represen- tatives, one is struck by a number of differences from those of the Kemalist period. It was clear that a significantly different section of Turkey’s elite had come to power.1‏One of the first things the new assembly did was to elect Celâl Bayar president of the republic. There was very little debate about his can- didature: he was the founder of the new party, he had a record as a (en)
  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; various methods of image summarization are also the subject of research; video summarization extracts the most important frames from the video content. (en)
  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; various methods of image summarization are the subject of ongoing research; video summarization extracts the most important frames from the video content. (en)
  • Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; various methods of image summarization are the subject of ongoing research, with some looking to display the most representative images from a given collection or generating a video; video summarization extracts the most important frames from the video content. (en)
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  • Automatic summarization (en)
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