In this paper, we describe one of the approaches of the participation of Universidade de Évora. Our approach is similar to usual methods where text is preprocessed, features are extracted, and then used in SVMs with cross validation. The main difference is that features used come from averages of word embeddings, specifically word2vec vectors. Using PAN… (More)
This paper presents an automated fish fry counting by detecting the pixel area occupied by each fish silhouette using image processing. A photo of the fish fry in a specially designed container undergoes binarization and edge detection. For every image frame, the total fish count is the sum of the area inside every contour. Then the average number of fishes… (More)
In this paper, we focused on profiling authors on age, gender, and five personality traits. The corpus consists of anonymized twitter posts categorized into 4 different languages. Our proposed approach was to use a combination of tfidf, function words, stylistic features, and text bigrams, and used an SVM for each task.