scholarly journals Identifying Automotive Industry Trends: Data Mining from Intellectual Property Databases

2021 ◽  
Vol 3 (2) ◽  
pp. 120-124
Author(s):  
Roland Attila Csizmazia
Keyword(s):  
Automotive Industry ◽  
Process Design ◽  
Computing Time ◽  
Patent Analysis ◽  
Inverse Document Frequency ◽  
Competitive Edge ◽  
Document Frequency ◽  
The Social ◽  
The Common ◽  
Industry Trends

Patents protect the patent holders in that the patented process, design and invention can only be used or sold by the holder exclusively. Therefore, manufacturers use patents to gain a competitive edge against the competition. A patent analysis discovers which car parts are considered the most for future development in the automotive sector. The purpose of this paper is to identify and analyze major trends and the potential implementation of patents. Furthermore, the research may reveal in detail the common R&D trends within a certain industry, differences among the major representative manufacturers and support to identify feasible future strategies for lagers. The patent analysis will be launched with the data collection from a patent database. To avoid the extensive computing time in R, only each patent document's abstract is deployed for the research. After data cleansing, the term frequency-inverse document frequency algorithm is used to find the keywords in the patent abstracts. To visualize results, the social network analysis is conducted. It identifies trends and relationships among the mapped keywords. The discovered major keywords constitute the graphs of the most important parts related to each other and are considered for the future.

scholarly journals Sentiment Analysis with Machine Learning Methods on Social Media

2020 ◽  
Vol 9 (3) ◽  
pp. 5-15
Author(s):  
Muhammet Sinan Basarslan ◽  
Fatih Kayaalp
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Support Vector ◽  
Inverse Document Frequency ◽  
Document Frequency ◽  
The Social ◽  
Vector Machines ◽  
Artificial Neural ◽  
Use Of The Internet ◽  
Python Programming

Social media has become an important part of our everyday life due to the widespread use of the Internet. Of the social media services, Twitter is among the most used ones around the world. People share their opinions by writing tweets about numerous subjects, such as politics, sports, economy, etc. Millions of tweets per day create a huge dataset, which drew attention of the data scientists to focus on these data for sentiment analysis. The sentiment analysis focuses to identify the social media posts of users about a specific topic and categorize them as positive, negative or neutral. Thus, the study aims to investigate the effect of types of text representation on the performance of sentiment analysis. In this study, two datasets were used in the experiments. The first one is the user reviews about movies from the IMDB, which has been labeled by Kotzias, and the second one is the Twitter tweets, including the tweets of users about health topic in English in 2019, collected using the Twitter API. The Python programming language was used in the study both for implementing the classification models using the Naïve Bayes (NB), Support Vector Machines (SVM) and Artificial Neural Networks (ANN) algorithms, and for categorizing the sentiments as positive, negative and neutral. The feature extraction from the dataset was performed using Term Frequency-Inverse Document Frequency (TF-IDF) and Word2Vec (W2V) modeling techniques. The success percentages of the classification algorithms were compared at the end. According to the experimental results, Artificial Neural Network had the best accuracy performance in both datasets compared to the others.

Web-based methodology for extracting technology words in Chinese process patents

2020 ◽  
Vol 16 (3) ◽  
pp. 315-329
Author(s):  
Yuexin Yang ◽  
Gongchang Ren
Keyword(s):  
Patent Analysis ◽  
Target Domain ◽  
Web Based ◽  
Inverse Document Frequency ◽  
Content Type ◽  
Information Platform ◽  
Document Frequency ◽  
Low Efficiency ◽  
Practical Implications ◽  
Function Matrix

Purpose The purpose of constructing the technology/function matrix is to analyze the patents in the target domain. The extraction of technology words is an important part of the construction of technology/function matrix. This algorithm is used to solve the problem of low efficiency of traditional Chinese process patents technology words extraction. Design/methodology/approach The authors propose a Chinese process patents technology words extraction method based on the improved term frequency–inverse document frequency (TF-IDF) algorithm to help technicians obtain the technology words in the target domain. According to the characteristics of Chinese process patents technology words, the TF value of candidate technology words is divided into four parts, and the corpus of IDF value calculation of candidate technology words is selected. Findings Through the test of Chinese process patents in the domain of path planning, this study shows that the method is feasible and practical. It can help users quickly and accurately obtain the technology words of Chinese process patents in the target domain. Practical implications With the increasing number of patents on the network-based patent information platform, patent analysis of massive Chinese process patents has become a research focus. The method proposed in this paper can facilitate users to extract technology words from massive Chinese process patents for patent analysis. Originality/value This paper aims to improve the efficiency of Chinese process patents technology words extraction. The authors hope that the proposed method can reduce the labor and time cost of Chinese process patents technology words extraction.

Current issues in aesthetics and beyond: Revisiting lookism

2020 ◽  
Vol 10 (1-2) ◽  
pp. 59-68
Author(s):  
Peter Takáč
Keyword(s):  
Plastic Surgery ◽  
Social Impact ◽  
Human Beings ◽  
Common View ◽  
Aesthetic Medicine ◽  
Unequal Treatment ◽  
Self Confidence ◽  
Public Status ◽  
The Social ◽  
The Common

AbstractLookism is a term used to describe discrimination based on the physical appearance of a person. We suppose that the social impact of lookism is a philosophical issue, because, from this perspective, attractive people have an advantage over others. The first line of our argumentation involves the issue of lookism as a global ethical and aesthetical phenomenon. A person’s attractiveness has a significant impact on the social and public status of this individual. The common view in society is that it is good to be more attractive and healthier. This concept generates several ethical questions about human aesthetical identity, health, authenticity, and integrity in society. It seems that this unequal treatment causes discrimination, diminishes self-confidence, and lowers the chance of a job or social enforcement for many human beings. Currently, aesthetic improvements are being made through plastic surgery. There is no place on the human body that we cannot improve with plastic surgery or aesthetic medicine. We should not forget that it may result in the problem of elitism, in dividing people into primary and secondary categories. The second line of our argumentation involves a particular case of lookism: Melanie Gaydos. A woman that is considered to be a model with a unique look.

Philosophcal review of h. white̕s tropological theory in the context of the new philosophy of history

2020 ◽  
Vol 3 (152) ◽  
pp. 92-99
Author(s):  
S. M. Geiko ◽  
◽  
O. D. Lauta
Keyword(s):  
Modern Science ◽  
Historical Knowledge ◽  
Text Organization ◽  
The Social ◽  
History Of ◽  
Actual Material ◽  
The Common ◽  
Historical Nature ◽  
Selection Of

The article provides a philosophical analysis of the tropological theory of the history of H. White. The researcher claims that history is a specific kind of literature, and the historical works is the connection of a certain set of research and narrative operations. The first type of operation answers the question of why the event happened this way and not the other. The second operation is the social description, the narrative of events, the intellectual act of organizing the actual material. According to H. White, this is where the set of ideas and preferences of the researcher begin to work, mainly of a literary and historical nature. Explanations are the main mechanism that becomes the common thread of the narrative. The are implemented through using plot (romantic, satire, comic and tragic) and trope systems – the main stylistic forms of text organization (metaphor, metonymy, synecdoche, irony). The latter decisively influenced for result of the work historians. Historiographical style follows the tropological model, the selection of which is determined by the historian’s individual language practice. When the choice is made, the imagination is ready to create a narrative. Therefore, the historical understanding, according to H. White, can only be tropological. H. White proposes a new methodology for historical research. During the discourse, adequate speech is created to analyze historical phenomena, which the philosopher defines as prefigurative tropological movement. This is how history is revealed through the art of anthropology. Thus, H. White’s tropical history theory offers modern science f meaningful and metatheoretically significant. The structure of concepts on which the classification of historiographical styles can be based and the predictive function of philosophy regarding historical knowledge can be refined.

The Influence of Personality Traits on Consumer Impulsive Buying Behaviour

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Khagendra Nath Gangai ◽  
Rachna Agrawal
Keyword(s):  
Personality Traits ◽  
Cultural Influences ◽  
Buying Behavior ◽  
Doing Business ◽  
The Social ◽  
Impulsive Buying ◽  
Social And Physical Environment ◽  
The Common ◽  
Buying Behaviour

Consumer behavior is a complex phenomenon which is evolving according to the time, situations, demographic characteristics of individuals, personality traits, cultural influences etc. The personality of individuals is a unique dynamic organization of the characteristics of a particular person, physical and psychological, which influence behavior and responses to the social and physical environment. It gives the impression that consumer buying is always influenced by their personality. Therefore, many marketers make use of personality traits in the advertisement of products and at the same time they enhance their marketing strategy. The marketers always designed different products and target specific market segments which commonly addressed on individuals personality traits. The individuals few personality traits influence consumer for impulsive buying behavior. The aim of present research is to study the personality traits influence on consumer impulsive buying behavior as it will help to create opportunities of doing business and dealing with customers. The objectives of this research are: (1) to investigate the influence of personality traits on consumer impulsive buying behavior, and (2) to identify the role of gender and their personality traits influence on consumer impulsive buying behavior. To fulfill the purpose of the study, the researchers randomly collected sample and divided them on the basis of gender, 60 males and 60 females. Data were collected from Delhi and NCR region. The data were analyzed using statistical applications such as correlation and t Test. The result was revealed that the common personality traits have a significant relationship with impulsive buying behavior that is psychoticism in the case of male and female. The role of gender has significant differences in impulsive buying behavior. The man showed more impulsive buying behavior compare to women.

What Theology Should and Should Not Learn from the Social Sciences About the Common Good

2017 ◽  
Author(s):  
Mary L. Hirschfeld
Keyword(s):  
Social Sciences ◽  
Common Good ◽  
Human Life ◽  
Social Thought ◽  
Extensive Literature ◽  
Human Flourishing ◽  
Catholic Social Thought ◽  
The Common Good ◽  
The Social ◽  
The Common

There are two ways to answer the question, What can Catholic social thought learn from the social sciences about the common good? A more modern form of Catholic social thought, which primarily thinks of the common good in terms of the equitable distribution of goods like health, education, and opportunity, could benefit from the extensive literature in public policy, economics, and political science, which study the role of institutions and policies in generating desirable social outcomes. A second approach, rooted in pre-Machiavellian Catholic thought, would expand on this modern notion to include concerns about the way the culture shapes our understanding of what genuine human flourishing entails. On that account, the social sciences offer a valuable description of human life; but because they underestimate how human behavior is shaped by institutions, policies, and the discourse of social science itself, their insights need to be treated with caution.

The Struggle of My Life

2018 ◽  
Keyword(s):  
Student Community ◽  
The Social ◽  
Freedom Fighters ◽  
Intractable Problems ◽  
History Of ◽  
National Life ◽  
The Common ◽  
Primary Focus ◽  
The Masses ◽  
Freedom Movement

The present work, The Struggle of My Life: An Autobiography of Swami Sahajanand Saraswati, is an English translation of Sahajanand’s autobiography, written in Hindi, Mera Jeevan Sangarsh. It carries an introduction by the translator which briefly deals with the Swami’s life and legacy. It needs to be emphasized that this is not an autobiography in the common run. Its primary focus is not on Swami’s persona; its central theme is the cause of the freedom movement in general and in particular, of the peasant movement under his leadership. It tells of the life and legacy of one of the most uncompromising and fearless freedom fighters and peasant leaders. It covers the social and political history of one of the most crucial periods of our national life, 1920–47. Today, when the Indian peasantry is faced with a number of intractable problems, it reminds them of the struggles of the peasants of yesteryears and the kind of trials and tribulations they went through. It is also remarkable that despite his vast learning and command over Sanskrit, Swami chose to write in simple, colloquial Hindi. That only speaks for his total identification with the masses. Both the teaching and student community as well as general readers would find this book useful, interesting and intellectually stimulating.

Funerary Ritual

2019 ◽  
pp. 292-309
Author(s):  
Mireia López-Bertran
Keyword(s):  
Point Of View ◽  
Good Death ◽  
Social Implications ◽  
Archaeological Remains ◽  
Deceased Person ◽  
Funerary Rituals ◽  
The Social ◽  
The Common ◽  
Funerary Rites ◽  
Written Sources

This chapter explores the funerary rites in the Phoenician-Punic world from a comprehensive point of view, and it focuses on the common points arising from a large amount of data. The concern for burying their deceased and the belief in the soul’s afterlife show that the Phoenicians considered death as a transformation rather than as the end of a person’s life. Through our access to archaeological remains and written sources, we can reconstruct the existence of a meaningful burial program that was destined to provide a “good death” and afterlife. Funerary rituals, thus, are the actions or gestures to achieve this goal. The aim of this chapter is to explain the rites that family members undertook once someone died, in order to transform correctly the deceased person into an otherworldly being, the ancestor. The social implications of the data arising from burials are also briefly considered.

Increasing adolescent girls’ social competence through cognitive counseling by social workers

2021 ◽  
pp. 146801732110102
Author(s):  
Chau-kiu Cheung
Keyword(s):  
Social Competence ◽  
Social Workers ◽  
Adolescent Girls ◽  
Cognitive Theory ◽  
Daily Life ◽  
Young Female ◽  
Common Basis ◽  
The Social ◽  
The Common ◽  
Lower Education

Summary Despite the common basis of cognitive theory for cognitive counseling and social competence development, no research has charted the effectiveness of the counseling in raising social competence in young female residents of the residential service. To examine the effectiveness, this study analyzed data gleaned from monthly surveys of young female residents and their social workers regarding the latter’s daily life cognitive counseling. The data consisted of 391 cases pairing the female residents and social workers in Hong Kong over 33 months. Findings The cases afforded a cross-lagged analysis showing the raising of the girl’s social competence by the worker’s cognitive counseling earlier in the previous month. In substantiating this raising, the analysis also indicated that earlier social competence did not affect the counseling. Applications The findings imply the worth of promoting the social worker’s daily life cognitive counseling to advance girl residents’ social competence. Such counseling is particularly helpful to girls with lower education, who are lower in social competence.

scholarly journals 3D Ore Characterization as a Paradigm Shift for Process Design and Simulation in Mineral Processing

2021 ◽  
Author(s):  
Pratama Istiadi Guntoro ◽  
Yousef Ghorbani ◽  
Jan Rosenkranz
Keyword(s):  
Process Design ◽  
Paradigm Shift ◽  
Mineral Processing ◽  
Analysis Tool ◽  
Micro Computed Tomography ◽  
X Ray ◽  
Automated Mineralogy ◽  
Process Mineralogy ◽  
The Common ◽  
Ore Characterization

AbstractCurrent advances and developments in automated mineralogy have made it a crucial key technology in the field of process mineralogy, allowing better understanding and connection between mineralogy and the beneficiation process. The latest developments in X‑ray micro-computed tomography (µCT) have shown a great potential to let it become the next-generation automated mineralogy technique. µCT’s main benefit lies in its capability to allow 3D monitoring of the internal structure of the ore sample at resolutions down to a few hundred nanometers, thus excluding the common stereological error in conventional 2D analysis. Driven by the technological and computational progress, µCT is constantly developing as an analysis tool and successively it will become an essential technique in the field of process mineralogy. This study aims to assess the potential application of µCT systems, for 3D ore characterization through relevant case studies. The opportunities and platforms that µCT 3D ore characterization provides for process design and simulation in mineral processing are presented.

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