The analysis of user reviews has become critical in research and industry, as user reviews increasingly impact the reputation of products and services. Many review texts comprise an involved argumentation with facts and opinions on different product features or aspects. Therefore, classifying sentiment polarity does not suffice to capture a review’s impact. We claim that an argumentation analys...

We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article’s focus on centrality, students can explore the dependence of statistical models on initial...

In this paper we outline a research program for computational linguistics, making extensive use of text corpora. We demonstrate how a semantic framework for lexical knowledge can suggest richer relationships among words in text beyond that of simple co-occurrence. The work suggests how linguistic phenomena such as metonymy and polysemy might be exploitable for semantic tagging of lexical items....

Tourism English belongs to the English for Specific Purpose (ESP) and it has its own stylistic features. This paper aims at analyzing the stylistic features of tourism English. Firstly, a large amount of authentic materials are collected from official tourism websites of Britain and the U.S., and then a corpus named Tourism English Corpus (TEC) is compiled. Freiburg-LOB Corpus of British Englis...

Accessing online information remains an inexact science. While valuable information can be found, typically many irrelevant documents are also retrieved and many relevant ones are missed. Terminology mismatches between the user's query and document contents is a main cause of retrieval failures. Expanding a user's query with related words can improve search performance, but the problem of ident...

This paper presents a prosodic analysis of a corpus of 12 tales, read by one male speaker. The work is part of a project which aims at providing storytelling capacities to a humanoid robot. One main point is to improve text-to-speech synthesis expressivity according to a semi-automatic analysis of a given tale. Automatic tagging and prosodic stylization were applied to the corpus. The extracted...

Process analyses are becoming more and more standard in research on computer-supported collaborative learning. This paper presents the rational as well as results of an evaluation of a tool called TagHelper, designed for streamlining the process of multi-dimensional analysis of the collaborative learning process. In comparison with a hand-coded corpus coded with a 7 dimensional coding scheme, T...

This work presents the design and implementation of corpus recording sessions along with some preliminary processing results. Captured modalities include speech and facial expressions but the focus is on hand gesture expressivity. Thus, this is the primary modality and is recorded using three methods: bare hands, Nintendo Wii remote controls and datagloves. Such a setup allows for multimodal af...

1. Basis of a morphological analysis of the Slovak National Corpus A question of morphological (or morphosyntactic) analysis has been a key problem for natural language processing (NLP) for several years. Automatic morphological annotation is a useful tool especially with regard to the corpus data processing. In this respect morphological annotation has been considered also during the developme...

CorpusReader is a framework for creating and querying multi-layer corpora, which contain several levels of analysis (morphology, syntax, semantics, etc.) and which are aimed at observing correlations between these levels. Building, representing and querying multi-layer corpora is complex. CorpusReader’s specificity essentially lies in merging the outputs of existing corpus analysis tools, avoid...