A popular theory of markets is that they are efficient: all available information is deemed to provide an accurate valuation of an asset at any time. In this paper, we consider how the content of market-related news articles contributes to such information. Specifically, we mine news articles...

The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models for forecasting the return or volatility of assets completely disregard the arrival of asset specific news (i.e.,...

Travel planning and booking on the web has become one of the important issues of this activity. With the rise of the user-generated content the travelers' experiences have had an increasingly significant role as source of information. This paper proposes a portal that could automatically...

There are much more publications in open literature on the topic of linguistic variables as compared with Computing With Words (CWW). This paper intends to change that situation by demonstrating the feasibility of a working system. In order to accomplish this goal, a very focused example of an...

In this research, a computer assisted framework was developed to help researchers in conducting qualitative research. This framework leveraged the GATE platform, along with natural language processing and knowledge extraction techniques, to develop an automatic text annotation and summarisation...

Binding MOAD (Mother of All Databases) is the largest collection of high-quality, protein-ligand complexes available from the Protein Data Bank. It has grown to 9837 hand-curated entries. Here, we describe our semi-annual updating procedures and BUDA (Binding Unstructured Data Analysis), a...

Probabilistic language models have gained popularity in Natural Language Processing due to their ability to successfully capture language structures and constraints with computational efficiency. Probabilistic language models are flexible and easily adapted to language changes over time as well...

It has been said that there is something deeply touching about creating something and then having a chat with it. Machines in general, and more specifically computers, are not the exception to that tendency. In fact, since the Turing dissertation "Computing Machinery and Intelligence", machines'...

The traditional Boolean word-based approach to information retrieval (IR) considers only words for indexing. Irrelevant information is retrieved because of non-inclusion of semantic information like word senses and word context. In this work, the importance of representing the documents along...