Diplomatura en “Análisis de datos para negocios, finanzas e investigación de mercados”


81 Horas

Días y horarios:
Del 23 de Mayo al 19 de Diciembre de 2015.
Sábados de 10.00 a 13.00 hs.

Lugar de realización:
Sede Centro – Av. San Juan 951.


A lo largo de la Diplomatura se expondrá los algoritmos más utilizados en el Análisis de datos, enfocándose en sus aplicaciones prácticas pero dando un importante panorama de sus aspectos teóricos.
Se exploraran diversas bases de datos orientadas a problemas relacionados con diferentes negocios y crearán potentes modelos predictivos y descriptivos orientados específicamente a resolver problemas empresariales.

Entre las problemáticas más destacadas a analizar se encuentran:
•Segmentación Avanzada de clientes.
•Predicción de la demanda.
•Modelos de predicción para series temporales y financieras.
•Modelos de Scoring.
•Análisis de riesgo.
•Detección y prevención de fraudes.

Entre los algoritmos más importantes a estudiar se encuentran:
•Redes neuronales.
•Árboles de decisión.
•Inferencia Bayesiana.
•Algoritmo de clustering K-Means.
•Teoría de la información.


Modalidad de Trabajo:
•Explorar base de datos y planillas en Excel con software específico de Data Mining.
•Generar modelos predictivos y descriptivos aplicados a resolver problemas empresariales.
•Testear dichos modelos para determinar su nivel de exactitud.
•Resolver problemas reales que se presentan a menudo en el sector de negocios con los conocimientos adquiridos.

Profesor a Cargo:
Dra. Cristina Camós
Juan Pablo Braña
Trad. Prof. Alejandra Litterio
Ing. Alexis Sarghel


Para más información ver: Diplomatura en Análisis de Datos

Data Aggregation for Twitter Sentiment Analysis

Data aggregation offers a variety of tools and definitions that prove to be beneficial in the formulation of collective sentiment. The field of computational social choice related with computational properties for collective choice in Artificial Intelligence and multi-agent systems is extremely relevant.

Recently, sentiment analysis is gaining widespread attention in industry and the media. Several web tools, commercial products and applications are being developed in this field. Some of this analysis is based on specific events like death of a popular public figure while other analysis deals with different socio-economic trends and its relationship with tweets like political opinion, stock market fluctuations and others as well.

The results obtained through the analysis of collective mood aggregators are convincing and shows that accurate sentiment analysis can be retrieved from online posts. Performing sentiment analysis online reduces the cost, effort and time needed to conduct public surveys and questionnaires.  This data is of utmost importance to social scientists and psychologists.

Key words: data aggregation, sentiment analysis, artificial inteligence, machine learning, microblogging, Twitter.

Read more about Data aggregation for Twitter Sentiment Analysis


Argentine Symposium on Artificial Intelligence (ASAI 2015)

ASAI – Simposio Argentino de Inteligencia Artificial

Rosario, Argentina
31st August – 1st September, 2015


April 13th, 2015 : Deadline for submissions
June 15th, 2015 : Notification of Acceptance/Rejection
June 29th, 2015 : Deadline for camera ready submissions
31st August – 1st September 2015: ASAI


Topics of interest include, but are not limited to:
  • Artificial Intelligence in Data Analysis
  • Clustering
  • Computer Vision
  • Data Mining
  • Decision-Support Systems
  • Evolutionary Algorithms
  • Formal and Empirical Aspects of Artificial Intelligence
  • Fuzzy Logic
  • Human-Computer Interaction
  • Intelligent Agents and Multi-Agent Systems
  • Knowledge Acquisition, Representation, Management and Reasoning
  • Machine Learning
  • Natural Language Processing and Computational Linguistics
  • Neural Networks
  • Pattern Recognition
  • Personalization and Recommender Systems
  • Planning and Scheduling
  • Robotics
  • Innovative Applications of Artificial Intelligence: Big-data, Bioinformatics and Computational Biology, Education, Social Networks, Virtual Reality, etc.

Sentiment Analysis Simposium 15-16 April NY- Agenda

The agenda for the 2015 Sentiment Analysis Symposium, July 15-16 in New York

New this year: A half-day segment (within the Workshop track) on Sentiment Analysis for Financial Markets, adding to the symposium’s coverage of consumer, public, and social sentiment for market research, customer experience, healthcare, government, and other application areas.

Who’ll be presenting?

* Industry analysts Dave Schubmehl from IDC and Anjali Lai from Forrester.
Agency folks Francesco D’Orazio from Face, Brook Mille from MotiveQuest, and Karla Wachter, Waggener Edstrom.
* Technical innovators including Bethany Bengtson from Bottlenose, Moritz Sudhof from Kanjoya, Karo Moilanen from TheySay, and CrowdFlower CEO Lukas Biewald.
* Speakers on sentiment analysis in healthcare from the Advisory Board Company, Westat, and DSE Analytics.
* A set of forward-looking talks on wearables, speech analytics, emotional response via facial recognition, and virtual assistants.

For the longer-form workshops, running in parallel with the presentations, we’ll have:

* Prof. Bing Liu, presenting a half-day Sentiment Analysis tutorial.
* Dr. Robert Dale on Natural Language Generation.
* Sue Feldman, Synthexis, on Cognitive Computing.
* Research leader Steve Rappaport on Metrics and Measurement.
* … and more …

The 1st International Workshop on Natural Language Processing for Informal Text (NLPIT 2015)

The 1st International Workshop on  Natural Language Processing for Informal Text  (NLPIT 2015)
June 23, 2015, Rotterdam, The Netherlands


We invite submissions on topics that include, but are not limited to, the following core NLP approaches for informal UGC: language identification, classification, clustering, filtering, summarization, tokenization, segmentation, morphological analysis, POS tagging, parsing, named entity extraction, named entity disambiguation, relation/fact extraction, semantic annotation, sentiment analysis, language normalization, informality modeling and measuring, language generation, handling uncertainties, machine translation, ontology construction, dictionary construction, etc.


Authors are invited to submit original work not submitted to another conference or workshop. Workshop submissions could be a full paper or short paper. Paper length should not exceed 12 pages for full papers and 6 pages for short papers. All papers should follow the Springer’s LNCS format. Papers in PDF can be sent via the EasyChair Conference System https://easychair.org/conferences/?conf=nlpit2015. Each submission will receive, in addition to a meta-review, at least 2 peer double-blind reviews. Each full paper will get 25 minutes presentation time. Short papers will get 5 minutes presentation time in addition to a poster. In addition to paper presentations, we also plan to have an invited talk by a renowned scientist on a topic relevant for the workshop. Workshop proceedings will be published as part of the ICWE2015 workshop proceedings.
To contact the NLPIT 2015 organization team, please send an e-mail to: nlpit2015@easychair.org.


- Submission deadline: April 17, 2015
– Notification deadline: May 17, 2015
– Camera-ready version: May 24, 2015
– Workshop date: June 23, 2015

For more details, NLPIT 2015

International Workshop on Machine learning, Optimization and big Data – MOD 2015

An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders
Taormina – Sicily, Italy, from July 21 to 24, 2015

The MOD 2015 workshop will consist of one day of tutorials, followed by three days of main workshop sessions. We invite submissions of papers, abstracts and demos on all topics related to Machine learning, Optimization and Big Data including real-world applications for the workshop proceedings (http://www.taosciences.it/mod-2015/call-for-papers/) and proposals for tutorials (http://www.taosciences.it/mod-2015/call-for-tutorials/).

MOD 2015 Paper Format
Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

Papers must be submitted in PDF.

MOD 2015 Types of Submissions
When submitting a paper to MOD 2015, authors are required to select one of the following four types of papers:
* Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);
* Short paper: an extended abstract of novel work (max. 4 pages);
* Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop;
* Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch).

For research work which is relevant and which may solicit fruitful discussion at the workshop.

MOD 2015 Proceedings
All accepted long papers will be published in a volume of the series ‘Lecture Notes in Computer Science’ from Springer after the Workshop. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on.
All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2015 web site.

Important Dates
Call for Tutorial Submission: February 15, 2015
Tutorial Acceptance: March 1, 2015

Paper Submission: February 28, 2015
Author Notification: April 30, 2015

Call for Late Breaking Papers/Abstracts: April 15, 2015
Author Notification: April 30, 2015

Call for Late Breaking Posters/Demos: May 15, 2015
Author Notification: May 30, 2015

Camera Ready Paper Submission: May 15, 2015
Registration as Presenting Author: May 15, 2015
Early registration: May 15, 2015

Late registration: May 16 – July 24, 2015

On-Site registration: July 21-24, 2015

Workshop: July 21-24, 2015

Sentiment Analysis Symposium- July 15-16, 2015

The Sentiment Analysis Symposium 2015 in New York bridges technologies and business in a unique opportunity to discover value in opinions, emotions, and attitudes in social media, news, and enterprise feedback, to further your business goals.

Call for Speakers is open through January 23, 2015. Please submit your proposal for a presentation (20 or 30 minutes), 5-minute lightning talk, or workshop (60 or 90 minutes) today.

For more details, visit Sentiment Analysis Symposium