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In this chapter, we examine about some similar applications for “E-Note Mate”, and technologies which may have used in their particular artifact.
Summary Reader is a google application (figure 1) manufactured by summery scanning device, which provides scanning services and convert images quickly to digital copy. In here user need to take picture or have to decide on image within the mobile photo gallery. Then Program will immediately convert this to digital document. Software will allow more functionality (figure 2) such as summarize, convert, automatic query generation, Acceleration reading, share and foreign trade as a PDF. However , convert is not working properly. There are numerous languages to choose for the translation nonetheless it is able to convert around 2 languages.
But this kind of application is not primarily developed intended for the student. This product missed a lot of vital efficiency, however forecasted artifact is actually targeting to student and added more functionalities out-do this app.
Yogan jaya Kumar et al (2016) in accordance to this article examine the necessity of text summarization, Automatic textual content Summarization, the strategy that have been employed and some areas of text summarization. In addition , this information considers the sentence removal, domain specific summarization and multi record summarization and offers relevant rational example and basic concepts. In extract summarization is usually identify and extract important document text and plan as a summery. As well as right here describe 3 subsection of extract summarization such as features base techniques, Frequency base approaches and machine learning base techniques. If consider about domain specific summarization this article reviews medical file summarization, news document and email and in addition they used special and exceptional characteristics to conclude. Finally analyze multi doc summarization they will review a few related performs, using a lot of methods such as cluster Primarily based, Graph structured method and Discourse Primarily based method.
Wencan Luo and Diane Litman(2015) This kind of paper recommended to quickly summarize college student responses to reflection encourages and immediately novel outlining algorithm unlike the other methods. Once linguistic product of pupil inputs single word to multiple tenses, this summarizer created prolong phases rather than sentences, Furthermore, the period summarization algorithm, they imagine the concepts mentioned by simply more scholar should get more attention from the instructor. Triggers this article present the note of pupil coverage, determine as the amount of student whom semantically mention a phase in a brief summary. The suggested algorithm has three rupture which are prospect phrase removal this is applying syntax parser from the Senna toolkit, expression clustering this kind of use clustering paradigm with semantic length metric. To clustering K-Medoids algorithm can be fit very well for tyre requirements.
Hyoungil Jeong et approach (2010)At present most of the people work with smart phone to see news article, magazine etc . However it is challenging to read huge article in small hand held devices like mobile phone. In this article they propose, summarize is best way to create these concerns. Because of that, this kind of paper suggested system which aims to develop automatic key phrase extraction, text summarization techniques and search engine. As well as program provides multiple news article summarization. It can be useful when explored articles will be multiple news articles. Furthermore apply to Korean and English news article summarization method. The proposed program can provide keywords, summary of single and multiple articles or blog posts and hunt for the user giving details.
