83 research outputs found

    An Unsupervised Deep Learning Model for Aspect Retrieving Using Transformer Encoder

    Get PDF
    We introduce a deep-learning-based aspect extraction model called RATE, which stands for Retrieving of Aspects using Transformer Encoder. When doing unsupervised aspect-based sentiment analysis, the process of retrieving aspects is both critical and challenging. Most prior efforts use some kind of topic modeling to extract aspect only. Despite their efficacy, these techniques seldom provide consistent outcomes for highly coherent aspects. Even though some approaches address these issues by employing an attention-based deep neural model, their performance is hindered by their single-headed attention mechanism. Thus, RATE is designed to improve the performance of extracting coherent aspects from the text by using multi-headed attention mechanism with transformer encoder, negative samplings, and word embeddings. This model promotes the proximity in the embedding space of words that arise in similar contexts, as opposed to topic models and other techniques that often presume independently created words. To further enhance the coherence of the aspects, we use multi-headed attention technique in the encoder of the RATE architecture to downplay unimportant words during training. The RATE model outperforms the highest performing unsupervised baseline ones in terms of precision (8.34%), recall (0.94%), and f1-score (5.44%) on the ACOS-Laptop dataset. Again, on the ACOS-Restaurant dataset, RATE enhances precision, recall, and f1-score by , , and , respectively, for finding more significant and coherent aspects

    Benchmarking for Design Evaluation of Corporate Web Sites: A Study

    Get PDF
    No standard till date exists for corporate Web site design. This paper analyzes the features of the Web sites of some of the top performing companies from the Fortune 500 list dealing with various categories of products - consumer durables, consumer non-durables, industrial products, and services. We show the order of differences on various features that exist in site design among these categories. We also show the importance assigned to various commercial and design features by these category of companies and calculate weights assigned to these features. These weights can be used to provide a benchmark to evaluate the design of any corporate Web site. Next we analyze the content of some of the top performing Indian companies in each category and compare them with the corresponding companies from Fortune 500 group for various features. Finally, we have shown how a benchmark can be used for overall design evaluation of a Web site, taking Indian Web sites as an example

    Benchmarking the Complementary Features of Online Auction Sites – A Survey

    Get PDF
    The functionalities required for successful deployment and operation of online auction site can be broadly classified into two categories: core features and complementary features. Core features are essential for the existence of a site, whereas complementary features enhance a users experience with the site. Since a site has to have the core features, it is the complementary features that contribute to the popularity of the auction sites. We have conducted a survey of 100 auction sites to study 23 features. We found out the similarities among these sites based on their feature vectors. Three distinct groups are formed in the process. The groups are found to be distinct with respect to the core features. We also compared the complementary features of these sites. The results of the chi square tests revealed that the groups do differ with respect to most of these features. We propose a model to assign weights to the features distinctly for three auction site categories. Pareto analyses show important features that contribute to eighty percent of the weights in each group. We next define Site Evaluation Index based on these weights. The analysis shows that the sites with higher site evaluation index are indeed the popular ones, as per their ranking in the results of search engines. The highest scored sites can serve as a benchmark to choose the value adding complementary features to guide the upcoming auction sites
    • …
    corecore