1,720,969 research outputs found
Network text analysis: A two-way classification approach
No full textText clustering is a well-known method for information retrieval and numerous methods for classifying words, documents or both together have been proposed. Frequently, textual data are encoded using vector models so the corpus is transformed in to a matrix of terms by documents; using this representation text clustering generates groups of similar objects on the basis of the presence/absence of the words in the documents. An alternative way to work on texts is to represent them as a network where nodes are entities connected by the presence and distribution of the words in the documents. In this work, after summarising the state of the art of text clustering we will present a new network approach to textual data. We undertake text co-clustering using methods developed for social network analysis. Several experimental results will be presented to demonstrate the validity of the approach and the advantages of this technique compared to existing methods
What volunteers do? A textual analysis of voluntary activities in the Italian context
No full textThe complex phenomena of volunteering was mainly analyzed in economic literature with respect to its "economic value added", i.e the capability of this kind of activities to increase the level of productivity of some specific gods or services. In this paper, the point of view switches and voluntary organizations are analyzed as place of job market innovation, where new jobs arise and where people acquire new skills. Thus, volunteering can be thought as "social innovation" factor. In order to analyze the contents of voluntary works we use data coming from Istat survey "Multiscopo, Aspetti della vita quotidiana" (Multi-purposes survey, daily life aspects), for the year 2013. In our textual analysis, we use information included in the open answers given by people about the description of the tasks performed individually as volunteer. After stemming, lemmatization, and cleaning, data have been analyzed by means of Community Detection based on Semantic Network Analysis in order to discover patterns of jobs and through Correspondence Analysis on Generalized Aggregated Lexical Tables (CA-GALT) in order to discover profiles of volunteers. In particular, we look for differences given by gender, age, educational level, region of residence and type of voluntary association
Text analytics: present, past and future
No full textText analytics is a large umbrella under which it is possible to report countless techniques, models, methods for automatic and quantitative analysis of textual data. Its development can be traced back the introduction of the computer, but the prodromes date back, the importance of text analysis has grown over time and has been greatly enriched with the spread of the Internet and social media, which constitute an important flow of information also in support of official statistics. This paper aims to describe, through a timeline the past, the present and the possible future scenario of text analysis. Moreover, the main macro-steps for a practical study are illustrated
JADT'18 PROCEEDING OF THE 14TH INTERNATIONAL CONFERENCE ON STATISTICAL ANALYSIS OF TEXTUAL DATA
No full textItalian Families On Vacation: A Quantitative Analysis Of Holiday Experiences
Get PDFIn last decades, the rapid expansion of the tourism sector and the major differentiation
of the tourism products have stimulated several studies in segmentation of tourism
markets, but the applications of those techniques frequently focus on single consumers,
while often the real "buyer" is the family. In this paper, we detect the profiles of Italian
families compared to their travel choices; for the analysis, a sample of around 14,000
Italian families, from the National Institute of Statistics survey "Trips and Holidays,” is
used. The main goal of this paper is to investigate holiday strategies of Italian families in
connection with recent changes in family structure, in order to individuate different
profiles and different customs in travel patterns.In last decades, the rapid expansion of the tourism sector and the major differentiation
of the tourism products have stimulated several studies in segmentation of tourism
markets, but the applications of those techniques frequently focus on single consumers,
while often the real "buyer" is the family. In this paper, we detect the profiles of Italian
families compared to their travel choices; for the analysis, a sample of around 14,000
Italian families, from the National Institute of Statistics survey "Trips and Holidays,” is
used. The main goal of this paper is to investigate holiday strategies of Italian families in
connection with recent changes in family structure, in order to individuate different
profiles and different customs in travel patterns
What's Old and New? Discovering Topics in the American Journal of Sociology
No full textNowadays the field of text mining techniques seems to be very active in dealing with the increasing mass of available digital texts and several algorithms have been proposed to analyze and synthesize the vast amount of data that today represents a challenging source of information overload. Topic modeling is a collection of algorithms which are useful for discovering themes, i.e. topics, in unstructured text. The Latent Dirichlet Allocation (LDA) by Blei (et al., 2003) was one of the first topic modeling algorithms and since then the field seems to be active and many variants and other algorithms have been suggested. The present study considers a topic as an indicator of the relevance of a research area in a specific time-span and its
temporal evolution pattern as a way to identify the paradigm changes in terms of theories, ideas, forgotten topics, evergreen subjects and new emerging research interests. The study aims to contribute to a substantive reflection in Sociology by exploring the temporal evolution of topics in the abstracts of articles published by the American Journal of Sociology in the last century (1921-2016). Within the classical LDA perspective, the study also focus on topics with a significant increasing or decreasing trend (Griffiths et Steyvers, 2004). The results show different shifts that involved relevant reflections on various issues, from the early debate on the “institutionalization” process of Sociology as a scientific discipline to recent developments of sociological topics that clearly indicate how sociologists have reacted to new social problem
Text Mining per l'analisi qualitativa e quantitativa dei dati amministrativi utilizzati dalla Pubblica Amministrazione
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