Lexical Ambiguity in Political Rhetoric: Why Morality Doesn't Fit in a Bag of Words
How do politicians use moral appeals in their rhetoric? Previous research suggests that morality plays an important role in elite communication and that the endorsement of specific values varies systematically across the ideological spectrum.
Patrick W. Kraft, Robert Klemmensen
semanticscholar +1 more source
A Novel Evolving Sentimental Bag-of-Words Approach for Feature Extraction to Detect Misinformation
—The state-of-the-art misinformation detection techniques mainly focus on static datasets. However, a massive amount of information is generated online and the websites are flooded with this legitimate information and misinformation.
Y. Barve +3 more
semanticscholar +1 more source
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words [PDF]
Text-to-image retrieval is an essential task in cross-modal information retrieval, i.e., retrieving relevant images from a large and unlabelled dataset given textual queries. In this paper, we propose VisualSparta, a novel (Visual-text Sparse Transformer
Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee
semanticscholar +1 more source
A Comparative Study for Arabic Text Classification Based on BOW and Mixed Words Representations [PDF]
This paper compares two methods for features representation in Arabic text classification. These methods are bag of words (BOW) that mean the word-level unigram and mixed words representations.
Mahmoud Hussien +2 more
doaj +1 more source
Balinese Mask Characters Classification using Bag of Visual Words Model
Mask, often known by Balinese as “Tapel”, is made of pule wood. It depicts the representation of characters in the “badbad” or legend. Bali has many types of mask dances that are often performed, which makes tourists interested in visiting Bali ...
Komang Budiarta +2 more
doaj +1 more source
The Influence of Order on a Large Bag of Words [PDF]
Text classification has been mostly performed through implicit semantic correlation techniques, such as latent semantic analysis. This approach however, has proved insufficient for situations where there are short texts to be classified into one or more from many classes.
Charles B. do Prado +3 more
openaire +1 more source
What Is Not in the Bag of Words for Why-QA? [PDF]
While developing an approach to why-QA, we extended a passage retrieval system that uses off-the-shelf retrieval technology with a re-ranking step incorporating structural information. We get significantly higher scores in terms of MRR@150 (from 0.25 to 0.34) and success@10.
Verberne, S. +4 more
openaire +2 more sources
Paraphrase Generation with Latent Bag of Words
Paraphrase generation is a longstanding important problem in natural language processing. In addition, recent progress in deep generative models has shown promising results on discrete latent variables for text generation. Inspired by variational autoencoders with discrete latent structures, in this work, we propose a latent bag of words (BOW) model ...
Yao Fu +2 more
openaire +3 more sources
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study
Sequential information, a.k.a., orders, is assumed to be essential for processing a sequence with recurrent neural network or convolutional neural network based encoders. However, is it possible to encode natural languages without orders?
Chongyang Tao +5 more
semanticscholar +1 more source
Emotion Recognition from Speech Using the Bag-of-Visual Words on Audio Segment Spectrograms
It is noteworthy nowadays that monitoring and understanding a human’s emotional state plays a key role in the current and forthcoming computational technologies.
Evaggelos Spyrou +3 more
doaj +1 more source

