Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Multi-level graph neural network for text sentiment analysis
Text sentiment analysis is a fundamental task in the field of natural language processing
(NLP). Recently, graph neural networks (GNNs) have achieved excellent performance in …
(NLP). Recently, graph neural networks (GNNs) have achieved excellent performance in …
MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis
Sentiment analysis is an important natural language processing (NLP) task due to a wide
range of applications. Most existing sentiment analysis techniques are limited to the analysis …
range of applications. Most existing sentiment analysis techniques are limited to the analysis …
Modified genetic algorithm for feature selection and hyper parameter optimization: case of XGBoost in spam prediction
Recently, spam on online social networks has attracted attention in the research and
business world. Twitter has become the preferred medium to spread spam content. Many …
business world. Twitter has become the preferred medium to spread spam content. Many …
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers
C Ieracitano, A Paviglianiti, M Campolo… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The manufacturing of nanomaterials by the electrospinning process requires accurate and
meticulous inspection of related scanning electron microscope (SEM) images of the …
meticulous inspection of related scanning electron microscope (SEM) images of the …
A classified feature representation three-way decision model for sentiment analysis
Binary sentiment analysis uses sentiment dictionaries, TF-IDF, word2vec, and BERT to
convert text documents such as product and movie reviews into vectors. Dimensionality …
convert text documents such as product and movie reviews into vectors. Dimensionality …
A deep multi-task model for dialogue act classification, intent detection and slot filling
An essential component of any dialogue system is understanding the language which is
known as spoken language understanding (SLU). Dialogue act classification (DAC), intent …
known as spoken language understanding (SLU). Dialogue act classification (DAC), intent …
GAWA–a feature selection method for hybrid sentiment classification
Sentiment analysis or opinion mining is the key to natural language processing for the
extraction of useful information from the text documents of numerous sources. Several …
extraction of useful information from the text documents of numerous sources. Several …
[HTML][HTML] A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words
A tweet polarity classifier is presented with four categories: positive, neutral, negative and no
opinion. A grouping genetic algorithm performs feature extraction on the reviews. The …
opinion. A grouping genetic algorithm performs feature extraction on the reviews. The …
Evolutionary multiobjective feature selection for sentiment analysis
Sentiment analysis is one of the prominent research areas in data mining and knowledge
discovery, which has proven to be an effective technique for monitoring public opinion. The …
discovery, which has proven to be an effective technique for monitoring public opinion. The …