The Social Spiders in the Clustering of Texts

2012 ◽  
Vol 3 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Reda Mohamed Hamou ◽  
Abdelmalek Amine ◽  
Ahmed Chaouki Lokbani
Keyword(s):  
Data Stream ◽  
Combinatorial Problem ◽  
Large Data ◽  
Social Spiders ◽  
Stream Flows ◽  
The Social ◽  
Textual Data ◽  
Biomimetic Approach ◽  
N Gram

In this paper the authors experiment and test a new biomimetic approach based on social spiders to solve a combinatorial problem ie the automatic classification of texts because a very large data stream flows and particularly on the web. Representation of textual data was performed by a method independent of the language ie n-gram characters and words because there is currently no method of learning that can directly represent unstructured data (text). To validate the classification, the authors used a measure of evaluation based on recall and precision (F-measure). During the experiment, the authors found a powerful visualization tool in social spiders that they exploit to make visual classification.

scholarly journals Methods for Classification of Text Data: Can the Potential of Quantitative Analysis Be Applied to Qualitative Research?

Inter ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 81-96
Author(s):  
Marina Aleksandrova
Keyword(s):  
Social Sciences ◽  
European Social Survey ◽  
Research Field ◽  
Item Nonresponse ◽  
Text Data ◽  
Social Survey ◽  
The Social ◽  
Textual Data ◽  
Analysis Of Results

Text mining has developed rapidly in recent years. In this article we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics adapted for textual analysis in the social sciences: accuracy, precision, recall, F1-score, and gives examples that can help a sociologist figure out which of them is worth paying attention depending on the task at hand (classify text data with equal accuracy, or more fully describe one of the classes of interest). The article proposes an analysis of results obtained by analyzing texts based on the materials of the European Social Survey (ESS).

Social-Psychological Models in Labor Motivation Analysis

2004 ◽  
pp. 90-101 ◽  
Author(s):  
A. Surkov
Keyword(s):  
Economic Analysis ◽  
Psychological Approach ◽  
Social Psychological ◽  
Economic Man ◽  
The Social ◽  
Psychological Models ◽  
Social Psychological Approach

Benefits of using social-psychological approach in the analysis of labor motivations are considered in the article. Classification of employees as objects of economic analysis is offered: "the economic man", "the man of the organization", "the social man" and "the asocial man". Related models give the opportunity to predict behavior of the firm in different situations, such as shocks of various nature.

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.

Detection and Classification of Anomalies in Large Data Sets on the Basis of Information Granules

2021 ◽  
pp. 1-1
Author(s):  
Adam Kiersztyn ◽  
Pawe Karczmarek ◽  
Krystyna Kiersztyn ◽  
Witold Pedrycz
Keyword(s):  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Information Granules

scholarly journals Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 248
Author(s):  
Simone Leonardi ◽  
Giuseppe Rizzo ◽  
Maurizio Morisio
Keyword(s):  
Social Media ◽  
Network Architecture ◽  
Diffusion Mechanism ◽  
Automated Classification ◽  
Fake News ◽  
Neural Network Architecture ◽  
User Classification ◽  
The Social ◽  
Network Topologies

In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%.

A Comparison of Rule-Based and Machine Learning Models for Classification of Human Factors Aviation Safety Event Reports

2020 ◽  
Vol 64 (1) ◽  
pp. 129-133
Author(s):  
Katherine Darveau ◽  
Daniel Hannon ◽  
Chad Foster
Keyword(s):  
Machine Learning ◽  
Human Factors ◽  
Human Error ◽  
Data Science ◽  
Aircraft Engine ◽  
Rule Based ◽  
Root Cause ◽  
Textual Data ◽  
Safety Event

There is growing interest in the study and practice of applying data science (DS) and machine learning (ML) to automate decision making in safety-critical industries. As an alternative or augmentation to human review, there are opportunities to explore these methods for classifying aviation operational events by root cause. This study seeks to apply a thoughtful approach to design, compare, and combine rule-based and ML techniques to classify events caused by human error in aircraft/engine assembly, maintenance or operation. Event reports contain a combination of continuous parameters, unstructured text entries, and categorical selections. A Human Factors approach to classifier development prioritizes the evaluation of distinct data features and entry methods to improve modeling. Findings, including the performance of tested models, led to recommendations for the design of textual data collection systems and classification approaches.

Polarity Classification of Arabic Sentiments

2016 ◽  
Vol 11 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Mohammed N. Al-Kabi ◽  
Heider A. Wahsheh ◽  
Izzat M. Alsmadi
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Operating Characteristic ◽  
Opinion Mining ◽  
Online Social Network ◽  
The Social ◽  
Polarity Classification ◽  
Arabic Sentiment Analysis ◽  
Modern Standard

Sentiment Analysis/Opinion Mining is associated with social media and usually aims to automatically identify the polarities of different points of views of the users of the social media about different aspects of life. The polarity of a sentiment reflects the point view of its author about a certain issue. This study aims to present a new method to identify the polarity of Arabic reviews and comments whether they are written in Modern Standard Arabic (MSA), or one of the Arabic Dialects, and/or include Emoticons. The proposed method is called Detection of Arabic Sentiment Analysis Polarity (DASAP). A modest dataset of Arabic comments, posts, and reviews is collected from Online social network websites (i.e. Facebook, Blogs, YouTube, and Twitter). This dataset is used to evaluate the effectiveness of the proposed method (DASAP). Receiver Operating Characteristic (ROC) prediction quality measurements are used to evaluate the effectiveness of DASAP based on the collected dataset.

The twelve-month outcome of patients with neurotic illness in general practice

1981 ◽  
Vol 11 (3) ◽  
pp. 535-550 ◽  
Author(s):  
A. H. Mann ◽  
R. Jenkins ◽  
E. Belsey
Keyword(s):  
Social Life ◽  
Function Analysis ◽  
Psychiatric Morbidity ◽  
The Social ◽  
Assessment Measures ◽  
Psychiatric State ◽  
One Year

SYNOPSISOne hundred patients, selected to be representative of those attending general practitioners with non-psychotic psychiatric disorders were followed up for one year. standard assessments of mental state, personality, social stresses and supports were carried out for each patient at the outset and after a year.The outcome for this cohort determined both by the level of psychiatric morbidity at interview after one year and by the pattern of the psychiatric morbidity during the year has been analysed with reference to the assessment measures. Discriminant function analysis indicates that the initial estimate of the severity of the psychiatric morbidity and a rating of the quality of the social life at the time of follow-up are the only factors that significantly predict the psychiatric state after one year. Social measures also predict a pattern of illness charactorized by a rapid recovery after the initial assessemtn. Patients who reported continuous psychiatric morbidity during the year were, older, physically ill and very likely to have recevied psychotropic drugs. Receipt of this medication during the year was associated with initial assessments of abnormality of personality, older age, and a diagnosis of depression.The findings of this study are seen to support a triaxial assessment and classification of non-psychotic psychiatirc disorders, with symptoms, personality and social state being rated independently.

The Life-History of Badumna-Candida (Araneae, Amaurobioidea)

1993 ◽  
Vol 41 (5) ◽  
pp. 441 ◽  
Author(s):  
MF Downes
Keyword(s):  
Sex Ratio ◽  
Egg Production ◽  
Production Cycle ◽  
Social Spider ◽  
Social Spiders ◽  
Primary Sex Ratio ◽  
The Social ◽  
The Status ◽  
History Of ◽  
Changes Over Time

A two-year study of the social spider Badumna candida at Townsville, Queensland, provided information on colony size and changes over time, maturation synchrony, temperature effects on development, sex ratio, dispersal, colony foundation, fecundity and oviposition. Key findings were that B. candida outbred, had an iteroparous egg-production cycle between March and October, had an even primary sex ratio and achieved maturation synchrony by retarding the development of males, which matured faster than females at constant temperature. There was no overlap of generations, the cohort of young from a nest founded by a solitary female in summer dispersing the following summer as subadults (females) or subadults and adults (males). These findings confirm the status of B. candida as a periodic-social spider (an annual outbreeder), in contrast to the few known permanent-social spider species whose generations overlap. Cannibalism, normally rare in social spiders, rose to 48% when spiders were reared at a high temperature. This may be evidence that volatile recognition pheromones suppress predatory instincts in social spiders.

Le rivolte francesi del novembre 2005 nei titoli di ventuno quotidiani italiani. Ricostruzione dei processi rappresentazionali attraverso un'analisi lessicografica

2009 ◽  
pp. 31-58
Author(s):  
Alesssndra Areni ◽  
Gilda Sensales ◽  
Angela Angelastro
Keyword(s):  
Social Representations ◽  
Geographical Area ◽  
Temporal Distance ◽  
Differential Analysis ◽  
The Social ◽  
Textual Data ◽  
Two Factors ◽  
And Gender ◽  
Scree Test

- The tradition of the social representations is the framework of research that is part of a wider project focused on the role of mass media, as part of cultural system, and on processes of anchorage and labelling involved to define the events under observation. We studied the social representations of French riots of November 2005 on headlines of 21 Italian daily newspapers with different cultural and ideological orientation. The aims of research, of comparative character, were the exploration: of consistence of results emerged in previous investigations, and of role played from newspapers and from temporal distance by the events 1) on structural organization of representational field, related to lexicon of headlines, and 2) on differential characterization of the lexicon of headlines 2a) of 21 newspapers and 2b) of two periods, more or less near to the beginning of events. The population, composed by 468 headlines, was collected by October 30 to November 18, 2005. The textual data, related to words of headlines, and the extra-textual data, related to newspapers, to period of publication (I and II week), to signature and sex of journalists, have been processed by different steps of statistical package SPAD-T. According to the scree-test were extracted two factors able to explain 20.40% of total variance. Through the intersection between the two factors we analyzed the factorial plan that, by providing the information more synthetic and exhaustive as possible, highlighted the existence of four areas otherwise characterized by the newspapers, by the two weeks and by the signature and gender of journalists. The differential analysis of lexicographical characterization of each of the 21 newspapers and of two periods, allowed the confirmation and deepening of what emerged in the structural analysis. Overall results showed the non-neutrality of language used by the headlines. It was functional to ideological and cultural profile of source, to its geographical area of reference and to temporal distance from origin of events. Furthermore results showed processes of anchorage and la- beling referable to need to preserve and strengthen specific groupal identity of the source.

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