Automatic Annotation of Text with Pictures
Abstract of Automatic Annotation of Text with Pictures
Automatic Annotation.The wide range of information available on the Internet makes it challenging to quickly determine the content’s significance and relevance.Text picturing is a cognitive aid that can help with text understanding, as it helps users decide if the text deserves a closer look by showing relevant pictures along with the text.
For writers, bloggers, and editors, linking text with media content is crucial. Visual content helps readers follow the crux of a discussion or identify the core theme of an article. In efforts to organize and display helpful images, content managers, news writers, and user-interface designers perform page layout, assigning images to concepts. To improve image-retrieval accuracy, a number of issues must be addressed. For instance, journalists trying to illustrate a point are required to match a story’s natural language to the available images. Accordingly, matching a news story to images typically relies on matching text to a tagged image library. Project reader can quickly and easily decide if the text information deserves a closer look. Text mining has developed in relation to the type of data such as tabular data, text, images