盲人智能摘要器
Smart Summarizer for Blind People
摘要：
在当今世界，时间是一种非常重要的资源。在我们忙碌的生活中，我们大多数人几乎没有时间阅读完整的新闻，所以我们所要做的就是浏览标题并满足自己。因此，我们可能会错过新闻的一部分或误解整个事情。对于视力受损或失去视力的人来说，情况更糟。这些人无法阅读文本对他们的生活产生了巨大的影响。盲人阅读课文的方法有很多。特别是盲文，就是其中一个例子，但它是一种非常低效的方法，因为它确实需要时间，需要大量的练习。因此，我们提出了一种基于声音的视觉障碍者的方法，这显然比触觉更好，更准确。本文提出了一种有效的方法来概括新闻的重要关键词，以节省精力，通过每一次完整的文本。本文介绍了Tesseract、GTTS等多个API和模块，以及Luhn算法、潜在语义分析算法、文本排序算法等算法的详细讨论和实现。本文所涉及的另一个功能是将摘要文本转换为语音，以便系统甚至可以帮助盲人。
英文摘要：
In today's world, time is a very important resource. In our busy lives, most of us hardly have time to read the complete news so what we have to do is just go through the headlines and satisfy ourselves with that. As a result, we might miss a part of the news or misinterpret the complete thing. The situation is even worse for the people who are visually impaired or have lost their ability to see. The inability of these people to read text has a huge impact on their lives. There are a number of methods for blind people to read the text. Braille script, in particular, is one of the examples, but it is a highly inefficient method as it is really time taking and requires a lot of practice. So, we present a method for visually impaired people based on the sense of sound which is obviously better and more accurate than the sense of touch. This paper deals with an efficient method to summarize news into important keywords so as to save the efforts to go through the complete text every single time. This paper deals with many API's and modules like the tesseract, GTTS, and many algorithms that have been discussed and implemented in detail such as Luhn's Algorithm, Latent Semantic Analysis Algorithm, Text Ranking Algorithm. And the other functionality that this paper deals with is converting the summarized text to speech so that the system can aid even the blind people.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
