masreis / java-artificial-intelligence

Um projeto para aplicar técnicas de inteligência artificial com as principais bibliotecas Java.

Inteligência Artificial e Java

Computação -Inteligência Artificial (IA) --Data Mining --Machine Learning --Processamento de Linguagem Natural

Inteligência Artificial

Classificação

Referência

1. http://www.programcreek.com/java-api-examples/index.php?class=weka.core.Instances&method=trainCV
2. http://stackoverflow.com/questions/22790122/cross-validation-in-weka-using-predefined-folds
3. https://weka.wikispaces.com/Generating+cross-validation+folds+(Java+approach)
4. https://svn.cms.waikato.ac.nz/svn/weka/trunk/wekaexamples/src/main/java/wekaexamples/classifiers/CrossValidationSingleRun.java
5. https://weka.wikispaces.com/Use+WEKA+in+your+Java+code
6. https://blog.codecentric.de/en/2013/03/java-based-machine-learning-by-classification/
7. https://github.com/catchsudheera/sanwada/tree/master/Classification/src
8. http://www.stefanoscerra.it/movie-reviews-classification-weka-data-mining/
9. http://www.coli.uni-saarland.de/courses/LT1/2014/slides/TextClassification-Weka.pdf
10. https://www.cs.ru.nl/P.Lucas/teaching/DM/weka.pdf

Mineração de texto

Referência

1. http://stackoverflow.com/questions/9707825/basic-text-classification-with-weka-in-java
2. http://www.programcreek.com/java-api-examples/index.php?api=weka.filters.unsupervised.attribute.StringToWordVector
3. http://stackoverflow.com/questions/8212980/weka-example-simple-classification-of-lines-of-text
4. http://stackoverflow.com/questions/34575976/java-implementing-machine-learning-methods-on-text-mining/34587308
5. https://blog.codecentric.de/en/2013/03/java-based-machine-learning-by-classification/
6. http://www.unal.edu.co/diracad/einternacional/Weka.pdf
7. http://jmgomezhidalgo.blogspot.com.br/2013/06/sample-code-for-text-indexing-with-weka.html

Meka

java-artificial-intelligence

Um projeto para aplicar técnicas de inteligência artificial com as principais bibliotecas Java.

Projetos

Bank Marketing

1. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing

Agrupamento (clustering) no Twitter

Diárias e passagens

INEP

Sistemas de Recomendação

Comparativo

Comparar o crescimento do PIB com a evolução das patentes. https://www.kaggle.com/benhamner/d/worldbank/world-development-indicators

Análise de sentimento

Analisar os tweets do TJDFT

1. https://run.unl.pt/bitstream/10362/11338/1/Duarte_2013.pdf
2. http://nlp.stanford.edu/sentiment/
3. http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf
4. https://blog.openshift.com/day-20-stanford-corenlp-performing-sentiment-analysis-of-twitter-using-java/
5. https://www.repustate.com/text-analytics-api/
6. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-63982013000400004
7. http://www.linguateca.pt/ACDC/
8. http://label.ist.utl.pt/pt/downloads_pt.php
9. https://github.com/pedrobalage/STIL_LIWC_Evaluation

Referência

1. https://www.kaggle.com/datasets
2. http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
3. http://archive.ics.uci.edu/ml/datasets.html
4. http://deeplearning.net/