An Automatic Text Summarization Method with the Concern of Covering Complete Formation

2020 ◽  
Vol 13 (5) ◽  
pp. 977-986
Author(s):  
Srinivasa Rao Kongara ◽  
Dasika Sree Rama Chandra Murthy ◽  
Gangadhara Rao Kancherla
Keyword(s):  
Research Method ◽  
Research Work ◽  
Fuzzy Rule ◽  
Text Summarization ◽  
Document Summarization ◽  
Summarization Method ◽  
Overall Evaluation ◽  
Multiple Documents ◽  
Rule System ◽  
Value Decomposition

Background: Text summarization is the process of generating a short description of the entire document which is more difficult to read. This method provides a convenient way of extracting the most useful information and a short summary of the documents. In the existing research work, this is focused by introducing the Fuzzy Rule-based Automated Summarization Method (FRASM). Existing work tends to have various limitations which might limit its applicability to the various real-world applications. The existing method is only suitable for the single document summarization where various applications such as research industries tend to summarize information from multiple documents. Methods: This paper proposed Multi-document Automated Summarization Method (MDASM) to introduce the summarization framework which would result in the accurate summarized outcome from the multiple documents. In this work, multi-document summarization is performed whereas in the existing system only single document summarization was performed. Initially document clustering is performed using modified k means cluster algorithm to group the similar kind of documents that provides the same meaning. This is identified by measuring the frequent term measurement. After clustering, pre-processing is performed by introducing the Hybrid TF-IDF and Singular value decomposition technique which would eliminate the irrelevant content and would result in the required content. Then sentence measurement is one by introducing the additional metrics namely Title measurement in addition to the existing work metrics to accurately retrieve the sentences with more similarity. Finally, a fuzzy rule system is applied to perform text summarization. Results: The overall evaluation of the research work is conducted in the MatLab simulation environment from which it is proved that the proposed research method ensures the optimal outcome than the existing research method in terms of accurate summarization. MDASM produces 89.28% increased accuracy, 89.28% increased precision, 89.36% increased recall value and 70% increased the f-measure value which performs better than FRASM. Conclusion: The summarization processes carried out in this work provides the accurate summarized outcome.

scholarly journals Semantic Similarity Based Automatic Document Summarization Method

2019 ◽  
Vol 8 (6) ◽  
pp. 2516-2522
Keyword(s):  
Semantic Similarity ◽  
Research Method ◽  
Clustering Algorithm ◽  
Performance Metrics ◽  
Research Work ◽  
Document Summarization ◽  
Summarization Method ◽  
Similarity Computation ◽  
Automatic Document Summarization ◽  
Fuzzy Genetic

Document summarization is the process of generating the summary of the documents gathered from the web sources. It reduces the burden of web readers by reducing the necessity of reading the entire document contents by generating the short summary. In our previous research work this is performed by introducing the method namely Noun weight based Automated Multi-Document Summarization method (NW-AMDSM). However the previous research work doesn’t concentrate on the semantic similarity which might reduce the accuracy of the summarization outcome. This is resolved in the proposed research method by introducing the method namely Semantic Similarity based Automatic Document Summarization Method (SS-ADSM). In this research work, multi document grouping is done is based on semantic similarity computation, thus the document with similar contents can be grouped more accurately. Here the semantic similarity computation is performed with the help of word net analyzer. The document grouping is done by introducing the modified FCM clustering algorithm. Finally hybrid neuro fuzzy genetic algorithm is introduced to perform the automatic summarization. The numerical analysis of the proposed research method is conducted in the matlab simulation environment and compared with other research methods in terms various performance metrics. The simulation analysis proved proposed method tends to have better performance in terms of increased accuracy of document summarization outcome.

MHLM Majority Voting Based Hybrid Learning Model for Multi-Document Summarization

2019 ◽  
Vol 9 (1) ◽  
pp. 67-81
Author(s):  
Suneetha S. ◽  
Venugopal Reddy A.
Keyword(s):  
Numerical Data ◽  
Hybrid Learning ◽  
Learning Model ◽  
Text Summarization ◽  
Majority Voting ◽  
Sentence Length ◽  
Support Vector ◽  
Data Set ◽  
Document Summarization ◽  
Multiple Documents

Text summarization from multiple documents is an active research area in the current scenario as the data in the World Wide Web (WWW) is found in abundance. The text summarization process is time-consuming and hectic for the users to retrieve the relevant contents from this mass collection of the data. Numerous techniques have been proposed to provide the relevant information to the users in the form of the summary. Accordingly, this article presents the majority voting based hybrid learning model (MHLM) for multi-document summarization. First, the multiple documents are subjected to pre-processing, and the features, such as title-based, sentence length, numerical data and TF-IDF features are extracted for all the individual sentences of the document. Then, the feature set is sent to the proposed MHLM classifier, which includes the Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Neural Network (NN) classifiers for evaluating the significance of the sentences present in the document. These classifiers provide the significance scores based on four features extracted from the sentences in the document. Then, the majority voting model decides the significant texts based on the significance scores and develops the summary for the user and thereby, reduces the redundancy, increasing the quality of the summary similar to the original document. The experiment performed with the DUC 2002 data set is used to analyze the effectiveness of the proposed MHLM that attains the precision and recall at a rate of 0.94, f-measure at a rate of 0.93, and ROUGE-1 at a rate of 0.6324.

A Quantum-Inspired Genetic Algorithm for Extractive Text Summarization

2021 ◽  
Vol 10 (2) ◽  
pp. 42-60
Author(s):  
Khadidja Chettah ◽  
Amer Draa
Keyword(s):  
Genetic Algorithm ◽  
State Of The Art ◽  
Text Summarization ◽  
Automated System ◽  
Evaluation Metrics ◽  
Document Summarization ◽  
Automatic Text Summarization ◽  
Reference Methods ◽  
Textual Data ◽  
Automatic Text

Automatic text summarization has recently become a key instrument for reducing the huge quantity of textual data. In this paper, the authors propose a quantum-inspired genetic algorithm (QGA) for extractive single-document summarization. The QGA is used inside a totally automated system as an optimizer to search for the best combination of sentences to be put in the final summary. The presented approach is compared with 11 reference methods including supervised and unsupervised summarization techniques. They have evaluated the performances of the proposed approach on the DUC 2001 and DUC 2002 datasets using the ROUGE-1 and ROUGE-2 evaluation metrics. The obtained results show that the proposal can compete with other state-of-the-art methods. It is ranked first out of 12, outperforming all other algorithms.

Text Summarization

2012 ◽  
Author(s):  
Eduard Hovy
Keyword(s):  
Research And Development ◽  
Evaluation Studies ◽  
Text Summarization ◽  
Single Measurement ◽  
Document Summarization ◽  
Topic Identification ◽  
Evaluation Strategies ◽  
And Performance

This article describes research and development on the automated creation of summaries of one or more texts. It defines the concept of summary and presents an overview of the principal approaches in summarization. It describes the design, implementation, and performance of various summarization systems. The stages of automated text summarization are topic identification, interpretation, and summary generation, each having its sub stages. Due to the challenges involved, multi-document summarization is much less developed than single-document summarization. This article reviews particular techniques used in several summarization systems. Finally, this article assesses the methods of evaluating summaries. This article reviews evaluation strategies, from previous evaluation studies, to the two-basic measures method. Summaries are so task and genre specific; therefore, no single measurement covers all cases of evaluation

scholarly journals THE DESIGN OF THE RESEARCH METHOD IN GRADUATE RESEARCH WORK

2020 ◽  
pp. 289-299
Author(s):  
Imane Ghazlane ◽  
◽  
Bouzekri Touri ◽  
Mohamed Bergadi ◽  
Khalid Marnoufi ◽  
...  
Keyword(s):  
Graduate Students ◽  
Exploratory Study ◽  
Research Method ◽  
Research Work ◽  
Scientific Production ◽  
Systematic Analysis ◽  
Graduate Research ◽  
Data Collection And Analysis ◽  
The University

Regardless of the discipline or institution in which scientific research will be conducted, the "method» is present. It remains fundamental of all research work that can inevitably affect problem-solving, development of the nation, and threaten quality of life. This is an exploratory study on research methods used in graduation projects in the following disciplines (health sciences, engineering, biological and agronomic sciences, and social sciences). The method used in this work is based on:(a) semi-structured survey by interviewing supervisors of final dissertations and theses in different selected disciplines (b) systematic analysis of the fifty-research work of graduate students. The works obtained from the libraries of the University Hassan II of Casablanca in different disciplines, submitted between 2014 and 2018. The parts of the empirical phase were analyzed, according to the processes and concepts of each discipline, to highlight the elements of the research method. The findings indicated the influence of the national scientific production by the design of the research method. The data collection and analysis are the sections that may affect the integrity of the research method. Our contribution is to remedy the standardization of the method and adapting it to the contexts of the needs of different disciplines.

scholarly journals Is it possible to experience intimacy, attachment and love between human and operating system? An analyzing through Her movieİnsanla işletim sistemi arasında yakınlık, bağlanma ve aşk mümkün mü? Aşk (Her) filmi üzerinden bir inceleme

2017 ◽  
Vol 14 (1) ◽  
pp. 145 ◽  
Author(s):  
Ümit Morsünbül
Keyword(s):  
Operating System ◽  
Qualitative Research ◽  
Attachment Style ◽  
Human Behavior ◽  
Attachment Styles ◽  
Research Method ◽  
Document Analysis ◽  
Secure Attachment ◽  
Related Literature ◽  
Overall Evaluation

Pyschology and cinema are fields that benefit each other in order to explain human behavior. Many researchers have been noted that cinema is important tool in order to understand psychological structures. In light of related literature the main aim of the present study is to analyze the Her movie directed by Spike Jonez through Erikson’s intimacy versus isolation stage, Hazan and Shaver’s attachment styles and finally Sternberg’s love types. The sub-question was investigated in addition to the main aim is whether intimacy, attachment and love can be between operating system and human. Document analysis that one of the qualitative research method was used in the present study. An overall evaluation, it can be said thanks to Theodor’s relation with Samantha, Theodor experienced intimacy that Erikson was defined, he attached with secure attachment style that Hazan and Shaver defined to Samantha and finally according to Stenberg’s love types romantic love was experienced between couple. When we look answer of sub-question of the present study Her movie indicates that human can be intimate with operating system, experience attachment and fall in love. ÖzetPsikoloji ve sinema insan davranışlarını açıklamak amacıyla birbirinden yararlanan iki alandır. Sinemanın psikolojik yapıları anlamak açısından önemli bir araç olduğu pek çok araştırmacı tarafından belirtilmiştir.  İlgili literatür ışığında bu çalışmanın temel amacı yönetmenliği Spike Jonze’un yaptığı Aşk (Her) filminin Erikson’un yakınlığa karşı yalıtılmışlık evresi, Hazan  ve  Shaver’in bağlanma stilleri ve son olarak da Sternberg’in aşk türleri temelinde analiz edilmesidir. Bu temel amaca ek olarak incelen bir alt soru da sesten ibaret olan bir işletim sistemiyle bir insanın arasında yakınlık, bağlanma ve aşk olup olamayacağıdır.  Çalışmada nitel araştırma yöntemlerinden biri olan döküman incelemesi kullanılmıştır. Genel olarak değerlendirildiğinde Theodor’un Samantha ile ilişkisi sayesinde Erikson’un tanımladığı yakınlığı deneyimlediği, bağlanma stilleri açısından ise Theodor’un Samantha’ya Hazan ve Shaver’ın tanımladığı güvenli bağlanma örüntüsüyle bağlandığı ve son olarak da Sternberg’in aşk türleri açısından ikilinin arasında romantik aşkın yaşandığı söylenebilir. Çalışmanın alt sorusunun yanıtına baktığımızda Aşk filmi insanın işletim sistemiyle yakın olabileceğini, ona bağlanabileceğini ve aşık olabileceğini göstermektedir.

A Socio-semiotic Analysis of Qat culture in Yemen

2021 ◽  
Vol 2021 i (14) ◽  
pp. 68-83
Author(s):  
Nabil Salem ◽  
Keyword(s):  
Social Media ◽  
Research Method ◽  
Research Work ◽  
Semiotic Analysis ◽  
Culturally Specific ◽  
Catha Edulis ◽  
Linguistic Model ◽  
Sign System ◽  
Linguistic Sign ◽  
Lexical Items

Qat, Catha edulis has become synonymous with Yemen, as the phenomenon of Qat chewing in Yemen dates back hundreds of years in history. No social, cultural, or political gathering in the afternoon time can do without Qat. Afternoon time becomes the sign of Qat sessions and socialization. Despite Yemen's openness to other cultures and the recent revolution in all kinds of social media, Yemenis do not stop the habit of chewing Qat. The purpose of the present research work is to analyze 'Qat' as a linguistic sign consisting of a signifier and a signified to understand its various social, cultural, and political signifieds that give it the semiotic power to dominate all aspects of life in Yemen and to ground the coinage of many lexical items that are culturally specific to Qat culture and Yemeni dialects. The present paper uses semiotics as a research method in which it adopts Saussure's linguistic model of sign, signifier, and signified and Barthes' concepts of denotation and connotation. Semiotically, this paper shows that the Yemeni people are not addicted to Qat as a drug, as might be assumed by some foreigners who are not familiar with the sign system of Yemeni culture. The Yemeni people are addicted to Qat as a polysemous sign that is associated with values, norms, rituals, enjoyment, relationship, and socialization at the connotative level.

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