28.2714, Summer Schools: IQLA-GIAT Summer School in Quantitative Analysis of Textual Data

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LINGUIST List: Vol-28-2714. Sat Jun 17 2017. ISSN: 1069 - 4875.

Subject: 28.2714, Summer Schools:  IQLA-GIAT Summer School in Quantitative Analysis of Textual Data

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Date: Sat, 17 Jun 2017 13:57:21
From: George Mikros [gmikros at isll.uoa.gr]
Subject: IQLA-GIAT Summer School in Quantitative Analysis of Textual Data

 

IQLA-GIAT Summer School in Quantitative Analysis of Textual Data

Host Institution: 
Website: http://www.giat.org/?page_id=11&lang=en

Dates: 04-Sep-2017 - 08-Sep-2017
Location: Padova, Italy

Focus: In your next research project, are you planning to take into account a large number of novels, newspaper articles, transcriptions of open-ended interviews, or comments posted on social media?

Are there definitely too many texts for any scholar to read in a life-span perspective?
Why not trying to ask a computer to do this for you?

A software package cannot "close read" a text. On the contrary, by means of mathematical and statistical tools, it might be smart enough to "distant read" a text, i.e. collecting data, retrieving relevant information, summarising features, finding patterns, etc. Instead of close-reading a limited number of texts, why not working with thousands of texts, uploading them into the memory of a computer and asking a software package to produce analyses and results?
Minimum Education Level: Undergraduate


Description:
Digital methods have been utilised by a variety of disciplines and the growing
availability of large corpora and large databases (the Big Data era) calls for
new methods to deal with new problems, open the door to new questions and
develop new knowledge.

"Quantitative analysis of textual data", "Digital Methods" and "Distant
Reading" are general terms that refer to a wide range of methods sharing a
common aim: retrieving and summarising information from texts by means of
computer-aided tools. Today, computer-aided text analysis is an umbrella term
referring to a number of qualitative, quantitative and mixed-methods
approaches. It is an object of research in many sectors of linguistics,
computer sciences, mathematics and statistics and it is used as a research
tool within a number of disciplines such as psychology, philosophy, sociology,
sociolinguistics, education, history, political studies, literary studies,
communication and media studies. The recent evolution of information
technologies (IT) and quantitative methods has led to a number of distinct but
interrelated sectors (e.g. computational linguistics, information retrieval,
natural language processing, text mining, text analytics, sentiment analysis,
opinion mining, topic extraction, etc.) with interesting industrial
applications (e.g. electronic dictionaries, artificial intelligence,
computer-aided translation, plagiarism detection, web reputation).

Recent studies have repeatedly stressed the need for developing, adopting and
sharing interdisciplinary approaches and the IQLA-GIAT Summer School is the
ideal environment for developing innovative analytical tools by pooling
together the research methods of different disciplines.

The IQLA-GIAT Summer School is characterised by three main elements:

1. A general part devoted to quantitative linguistics
2. A special issue addressing a relevant methodological problem (2017: topic
detection and authorship attribution in Elena Ferrante's case-study; 2015:
measuring style and computational stylistics; 2013 measures and methods in
authorship attribution)
3. Several lab sessions dedicated to the computer-aided analysis of textual
data.

This year’s IQLA-GIAT Summer School will also include a Workshop on Elena
Ferrante’s case-study.

Objectives:

Teaching activities will raise questions that can be answered by implementing
quantitative methods and other procedures that may be used to identify and
compare the characteristics of texts within a text analysis framework. The aim
is to discuss with students, young researchers and scholars of different
disciplines the strengths, weaknesses, opportunities and threats of text
analysis quantitative methods. The participants selected for the IQLA-GIAT
Summer School have the opportunity to exploit different tools within the same
environment and the same tool in different environments.

The IQLA-GIAT Summer School aims at:

1. Sharing information on software, corpora, relevant literature and research
results
2. Promoting a dialogue among different disciplines on current research issues
3. Developing innovative analytical tools and integrated research methods
4. Introducing students and young researchers to new strains of research and
applications
5. Sharing state-of-the-art knowledge in:

-  Quantitative linguistics
-  Digital methods for text analysis (topic detection, text classification)
-  Authorship Attribution methods and dedicated software packages
-  Content mapping and data visualization
-  Computer-aided analysis of textual data.

Schedule:

The IQLA-GIAT Summer School will take place from Monday 4 to Friday 8
September 2017.

The IQLA-GIAT Summer School is a full-time intensive course held:

- On Monday from 10:00 am to 6:00 pm
- From Tuesday to Thursday from 9:30 am to 6:00 pm
- On Friday from 9:30 am to 4:00 pm
- On Friday, the last two hours will be devoted to the final assessment.

All courses are in English.


Linguistic Field(s): Applied Linguistics
                      Computational Linguistics
                      Forensic Linguistics
                      Text/Corpus Linguistics

Tuition: 200 EUR

Registration: 01-Jun-2017 to 31-Jul-2017

Contact Person: Irene Saonara
                Email: qatd.school at fisppa.it

Apply by Email: qatd.school at fisppa.it

Registration Instructions:
For any further information and details about terms, deadlines, application
forms and payment modalities, please contact Dott.ssa Valentina Rizzoli,
Dott.ssa Irene Saonara, Dott. Stefano Sbalchiero at  qatd.school at fisppa.it.

The IQLA-GIAT Summer School is open to 20 participants including researchers,
scholars and postgraduate students. The selection of 20 participants is due to
the capacity of the laboratory room.

Applicants should send a file in pdf format including:

- Curriculum vitae;
- Personal mission statement and research interests (max 500 words).

Applications should be sent to the following address: qatd.school at fisppa.it

Deadline: July, 31 
Tuition fee: €200




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