[PDF] Top 20 A percepção dos funcionários de um órgão público de Brasília em relação à qualidade de vida no trabalho
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Automatic Text Summarization Excerption System Using Fuzzy Values Based On Title And Number Of Useful Sentences
... Text summarization [1]has become an important and timely tool for assisting and interpreting text information in today’s fast-growing information ...of text. There is an abundance of ... See full document
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Automatic Arabic Text Summarization Based on Fuzzy Logic
... the fuzzy logic module to generate the final scores of the ...The sentences with the highest scores are selected to form the fi- nal ...our system we used five features based on the discussion ... See full document
40
An Additive FAHP based sentence score function for text summarization
... Automatic Text Summarization (ATS) is one of the most important ways to handle growing amounts of textual ...a text while covering the important points in the ...of summarization: ... See full document
886
A Survey on Query based Automatic Text Summarization
... summaries using query based ...following system of summarization is ...corresponding title. The title of each of the link are catalogued and the document‟s summary is shown in a ... See full document
9
Automatic Punjabi Text Extractive Summarization System
... Automatic text summarization (Kyoomarsi et ...source text into a shorter form retaining its information content and overall ...meaning. Text Summarization (Lin, 2009) Process can ... See full document
16
Application of Machine Learning Techniques in Persian Text Summarization Systems
... a system based on neural network is summarized text ...proposed system, the original sentences based on features such as similarity with title and similarities with the ... See full document
11
Alternative Fuzzy Algebra for Fuzzy Linear System Using Cramers Rules on Fuzzy Trapozoidal Number
... positive fuzzy number and negative fuzzy number using the area of positive-x axis and negative-x axis, and then will given algebra modification in multiplying two numbers of ...linear ... See full document
242
Title: Optimizing Accuracy of Document Summarization Using Rule Mining
... It organizes the lexical information in terms of word meanings and can be termed as a lexicon based on psycholinguistic principles. The design of the Marathi WordNet is inspired by the famous English WordNet. In ... See full document
9
Extractive Based Automatic Text Summarization
... A number of Data Mining techniques (such as association, clustering, classification) are developed to mine this vast amount of ...in text databases (or document databases), which consists of large ... See full document
257
NLP Based Text Summarization Using Semantic Analysis
... Text summarization is one of the major problems in the field of Natural Language Processing, and yet it is even after years of research and implementations, fraught with ...of Text ... See full document
6
Automatic Text Categorization using the Importance of Sentences
... categories. Using the proposed indexing method, the document vectors in a category are located more closely and individual categories are separated more ...by using Cen(S) and Rocchio produced a better ... See full document
5
APRIORI ALGORITHM APPROACH FOR AUTOMATIC TEXT PROCESSING AND GENERIC-BASED SUMMARIZATION SYSTEM
... voluminous text easily digestible, offers brief and quick overview of the subject contents and may provide critical context analysis to the ...a text processor which can adequately summarized an article or ... See full document
58
Activity Recognition Using Video Captioning and Summarization
... as text, audio, image and ...Unlike text and images, which can be analysed comparatively easily to obtain more information and perform complex analysis, videos offer a much more detailed and coherent view ... See full document
7
Framework of Automatic Text Summarization Using Reinforcement Learning
... the number of textual units, i.e., the number of sentences in this ...the number of actions because the agent has to select the next action from the available actions for each episode, whose ... See full document
8
A Novel Fuzzy-Bayesian Classification Method for Automatic Text Categorization
... large number of advanced machine learning algorithms. In the proposed system, fuzzy rule along with Bayesian classification method is proposed for automatic text categorization ... See full document
5
PERFORMANCE OF SEPARATED RANDOM USER SCHEDULING (SRUS) AND JOUNT USER SCHEDULING (JUS) IN THE LONG TERM EVOLUTION ADVANCED
... An abstractive approach proposed by [18] revise lead sentences in a news broadcast. This approach does not use the co-reference relation of noun phrases (NPs).In this approach, first the same chunks (also called ... See full document
6
Automatic Text Summarization Based on the Global Document Annotation
... Automatic Text Summarization Based on the Global Document Annotation Katashi Nagao.. Sony Computer Science Laboratory Inc.[r] ... See full document
61
Auto Text Summarization and Categorization
... Auto summarization involves reducing a text file into a passage or paragraph that can convey the important points of the text ...large text file wants to convey is very difficult job as well ... See full document
97
Malayalam Text Summarization Using Graph Based Method
... Text summarization methods can be classified into extractive and abstractive summarization (Hovy and Lin, 1997) ...Abstractive text summarization, it understands the original ... See full document
80
Title: A TEXT SUMMARIZATION USING MODERN FEATURES AND FUZZY LOGIC
... of text summary with more ...that system should be able to find out necessary features while extraction of text summary so whenever document size is less, our system will be able to reduce ... See full document
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