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In the current diversity and complexity of the network information environment, the technology of web page sensitive keywords detection is an important and immediate way to manage public opinion online. We propose a system for web page sensitive keywords detection. This system can detect sensitive keywords in the web
solution helps in reducing the time to write documents by 42% as compared to the traditional methods of writing documents. Sophisticated statistical algorithms along with natural language processing technology are used to continuously determine the keywords and concepts from the content in the document. A web search is
Keyword-based search engines are becoming increasingly sophisticated, and yet navigating the ever-increasing collection of academic knowledge remains an arduous task. Keeping abreast of relevant scientific literature is often a fragmented process that breaks the workflow of academic writing.
This paper aims to analyze affective expressions in articles of popular science by text mining with the keywords “Cancer” and “Immunity”. This study selects 145 articles from the website of a magazine and segmented them into 410,919 terms. And the study uses an automatic system to classify the terms into vocabulary
sentences. In our subjective evaluations, we have investigated how the system is utilized for writing lyrics actually. The log of using the system and the questionnaires showed that users want the system to present words suitable for their images, and they used the presented words as keywords of a lyrics rather than as they
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.