A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification
Progress in natural language processing has been dictated by the rule of more: more data,
more computing power, more complexity, best exemplified by deep learning Transformers …
more computing power, more complexity, best exemplified by deep learning Transformers …
Sentiment analysis for hotel reviews: a systematic literature review
A Ameur, S Hamdi, S Ben Yahia - ACM Computing Surveys, 2023 - dl.acm.org
Sentiment Analysis (SA) helps to automatically and meaningfully discover hotel customers'
satisfaction from their shared experiences and feelings on social media. Several studies …
satisfaction from their shared experiences and feelings on social media. Several studies …
Sentiment classification using a single-layered BiLSTM model
Z Hameed, B Garcia-Zapirain - Ieee Access, 2020 - ieeexplore.ieee.org
This study presents a computationally efficient deep learning model for binary sentiment
classification, which aims to decide the sentiment polarity of people's opinions, attitudes, and …
classification, which aims to decide the sentiment polarity of people's opinions, attitudes, and …
Comparison of text preprocessing methods
CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
An automatic method for constructing machining process knowledge base from knowledge graph
L Guo, F Yan, T Li, T Yang, Y Lu - Robotics and Computer-Integrated …, 2022 - Elsevier
The process knowledge base is the key module in intelligent process design, it determines
the intelligence degree of the design system and affects the quality of product design …
the intelligence degree of the design system and affects the quality of product design …
MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
A Pimpalkar - Expert Systems with Applications, 2022 - Elsevier
The fast improvement and transformation of online media and unique sites with critical
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
[HTML][HTML] Automated identification of bias inducing words in news articles using linguistic and context-oriented features
Media has a substantial impact on public perception of events, and, accordingly, the way
media presents events can potentially alter the beliefs and views of the public. One of the …
media presents events can potentially alter the beliefs and views of the public. One of the …
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
MS Başarslan, F Kayaalp - Journal of Cloud Computing, 2023 - Springer
Today, internet and social media is used by many people, both for communication and for
expressing opinions about various topics in many domains of life. Various artificial …
expressing opinions about various topics in many domains of life. Various artificial …
The multimodal sentiment analysis in car reviews (muse-car) dataset: Collection, insights and improvements
Truly real-life data presents a strong, but exciting challenge for sentiment and emotion
research. The high variety of possible 'in-the-wild'properties makes large datasets such as …
research. The high variety of possible 'in-the-wild'properties makes large datasets such as …