Text Analysis in R

Computational text analysis has become an exciting research field with many applications in communication research. It can be a difficult method to apply, however, because it requires knowledge of various techniques, and the software required to perform most of these techniques is not readily available in common statistical software packages. In this teacher’s corner, we address these barriers by providing an overview of general steps and operations in a computational text analysis project, and demonstrate how each step can be performed using the R statistical software. As a popular open-source platform, R has an extensive user community that develops and maintains a wide range of text analysis packages. We show that these packages make it easy to perform advanced text analytics.     

An Insidious Poison or a Door to the Story?

The aim of this paper is to grasp the influence of the newsroom on frame-building processes. First, journalists’ own understanding of “frames” and “framing” is discussed. Second, from an academic interpretation of these concepts, journalists’ framing practices are studied. To this end an ethnographic study was conducted at two newsrooms, one in Belgium and one in the Netherlands. The findings reveal that while the noun “frame” is sporadically used as a tool, the verb “framing” is considered as something from which a journalist should refrain. This is explained by the associations journalists make with strategic framing from sources as well as by the newspapers’ explicit attempt to no longer view the world from a single ideological frame. It is argued that the studied newsrooms have replaced ideology by, respectively, a counterframing strategy that strives to disprove existing frames (deframing) and a narrative approach that, one the one hand, sharpens existing frames but, on the other hand, offer more opportunities to create alternative frames (reframing) for events.     

Product review summarization through question retrieval and diversification

Product reviews have become an important resource for customers before they make purchase decisions. However, the abundance of reviews makes it difficult for customers to digest them and make informed choices. In our study, we aim to help customers who want to quickly capture the main idea of a lengthy product review before they read the details. In contrast with existing work on review analysis and document summarization, we aim to retrieve a set of real-world user questions to summarize a review. In this way, users would know what questions a given review can address and they may further read the review only if they have similar questions about the product. Specifically, we design a two-stage approach which consists of question selection and question diversification. For question selection phase, we first employ probabilistic retrieval models to locate candidate questions that are relevant to a given review. A Recurrent Neural Network Encoder–Decoder is utilized to measure the “answerability” of questions to a review. We then design a set function to re-rank the questions with the goal of rewarding diversity in the final question set. The set function satisfies submodularity and monotonicity, which results in an efficient greedy algorithm of submodular optimization. Evaluation on product reviews from two categories shows that the proposed approach is effective for discovering meaningful questions that are representative of individual reviews.     

准备好应用网络教育的明日教师（上）

全球网（www.World Wide Wde)对教育系统的潜在冲击几乎是无限的。然而，如果我们的教师不具备适当的应用网络的知识和技能，实现的冲击会比可能的要小。证据表明，我们的教师需要培训，以便能够有效利用强大的在线资源，培养我们的孩子在数字社会中自我发展的能力。本文的目的在于探讨基于网络的教学对教师教育计划的冲击。     

The development of spoken language in deaf children: explaining the unexplained variance

Using a large existing data base on children with severe and profound deafness, 10 children were identified whose level of spoken laguage was most above and 10 whose level was most below that expected on the basis of their hearing loss, age, and intelligence. A study of their personal characteristics, family background, and educational history identified factors associated with unusually high performance; these includes earlier use of binaural ear-level aids, more highly educated mothers, auditory/verbal or auditory/oral instruction, reliance on spoken language as a method of communication, individualized instruction, integration, and structured teaching by parents. Parents of high performers also reported being highly commited to and focusing family resouces on developing their child's spoken language.     

Facing financial distress: a case study of the University of Washington

This paper describes the processes used by the University of Washington to meet severe budget reductions mandated by the State in the 1980s. A planning philosophy of smaller size and higher quality was adopted, and program elimination was identified as the only way to achieve permanent cost reductions. Program elimination occurred consensually, with faculty and student participation. While a substantial number of programs were eliminated, faith was kept with faculty by retaining all tenured professors in eliminated programs, and with students by allowing them ample time to complete degrees. The strategies the University has developed as a result of its experience of fiscal distress emphasizes increasing university autonomy. The University is striving to acquire authority over its income, is comparing itself with peer institutions to demonstrate underfunding to the legislature, and stressing to the legislature the benefits that come to the state from having a strong research institution.