Bag-of-Words (BoW) is a widely used model in a variety tasks in Natural Language Processing (NLP). However, this model does not consider any relations between words in the bag, which will bring about multiple problems in some NLP aspects. In this project, I proposed a framework for calculating pair-wise word relations within a bag, using both deterministic Wordnet database and stochastic contex...

Multi-label text classification has been applied to a multitude of tasks, including document indexing, tag suggestion, and sentiment classification. However, many of these methods disregard word order, opting to use bag-of-words models or TFIDF weighting to create document vectors. With the advent of powerful semantic embeddings, such as word2vec and GloVe, we explore how word embeddings and wo...

The negative spam reviews are more harmful for hotel services because the impacts of negative information are faster and greater, than positive information. The sentiment analysis for detection of spam review is not effective in today scenario because for making new spam review, the spammers instead of copying exact texts; they are combining two or more text which contains the same sentiment. T...

English. In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language. These algorithms have many hyper-parameter that have to be carefully tuned in order to obtain accurate word representation in vectorial space. We provide an accurate analysis and an evaluation, showing what are the best configuration of...

Objectives: Reading is a language skill based on visual modality which recently is addressed as a facilitator of expressive language in children with Down syndrome. The aim was designing a whole word reading protocol and examining its effects on the language skills of children with Down syndrome. Methods: A whole word reading protocol was developed and was examined through a single-subject s...

Postpartum hemorrhage (PPH) is one of the most common causes of mortality in obstetrics worldwide. The accuracy of estimated blood loss is a priority in determining appropriate treatment. Will the additional use of a visual aid improve physicians' accuracy in estimating blood loss compared to the use of a collector bag and baby scale alone? Simulation training sessions created three vaginal del...

In this paper we present the image classification techniques performed by the IPL Group for the subfigure classification subtask of ImageCLEF 2016 Medical Task. For the visual representation of images, various state-of-the-art visual features, such as, Bag of Visual Words computed with pyramid-histogram of-visual-words descriptors and quadtree bag-of-colors were adopted. We present the results ...

The popular bag of words assumption represents a document as a histogram of word occurrences. While computationally efficient, such a representation is unable to maintain any sequential information. We present an effective sequential document representation that goes beyond the bag of words representation and its n-gram extensions. This representation uses local smoothing to embed documents as ...