Feature selection improves the training speed of the classifier without affecting its predictive capability. It selects a subset of most informative words (terms) from the set of all words. Term distribution affects the feature selection process, e.g. ...

Social media allow the users to express and share their information, ideas and opinions through social networking sites. Airline tweets are becoming popular and used as dataset to gauge the concerns of the customers. In this paper, the researchers ...

One biggest challenge in sentiment analysis is that it should include Natural Language Processing (NLP), to make the machine understand the human language. With the current development of Artificial Neural Network (ANN), with its implementation, ...

Big data from micro-blog has been an important access to social groups' psychology, market feedback and so on. Unlike the review corpus which is usually related to the specific object (e.g. a product), the micro-blog content covers the opinion of many ...

Fashion coordinates recommendation focuses on coordinating the pattern and colors of fashion items. For example, which shirt out of the candidates matches the pants best? The traditional recommender system based on Latent Factor Model (LFM) uses user ...

Bag-of-Words with TF-IDF or other weighting schemes is commonly adopted ways for document representation. However, they fail to capture sequential or semantic information in the sentence, and would lead to high-dimensional vector due to misspelling, ...