论文标题
盲人的明智摘要
Smart Summarizer for Blind People
论文作者
论文摘要
在当今世界，时间是非常重要的资源。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，因此我们要做的就是浏览头条新闻并满足自己的需求。结果，我们可能会错过新闻的一部分或误解完整的事情。对于那些视力障碍或失去观察能力的人来说，情况甚至更糟。这些人无法阅读文本对他们的生活产生巨大影响。盲人有许多方法可以阅读文本。尤其是盲文脚本是其中一个示例之一，但这是一种高效的方法，因为它确实是时候了，需要大量的练习。因此，我们根据声音感提出了一种对视障人士的方法，显然比触摸感更好，更准确。本文介绍了一种有效的方法，可以将新闻汇总到重要的关键字中，以节省每次遍历完整文本的努力。本文介绍了许多API和模块，例如Tesseract，GTTS和许多已详细讨论和实施的算法，例如Luhn的算法，潜在的语义分析算法，文本排名算法。本文处理的另一个功能是将摘要的文本转换为语音，以便系统甚至可以帮助盲人。
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.
