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Systematic reviews in sentiment analysis: a tertiary study
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
Software defect prediction using ensemble learning: A systematic literature review
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …
multiple classification techniques to create an ensemble or hybrid approach. This technique …
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 …
A systematic review on supervised and unsupervised machine learning algorithms for data science
Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …
data science in general. The purpose of the systematic review was to analyze scholarly …
Towards sustainable energy: a systematic review of renewable energy sources, technologies, and public opinions
The use of renewable energy resources, such as solar, wind, and biomass will not diminish
their availability. Sunlight being a constant source of energy is used to meet the ever …
their availability. Sunlight being a constant source of energy is used to meet the ever …
[BOK][B] Supervised and unsupervised learning for data science
Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID‐19
COVID‐19 pandemic has affected over 100 countries in a matter of weeks. People's
response toward social distancing in the emerging pandemic is uncertain. In this study, we …
response toward social distancing in the emerging pandemic is uncertain. In this study, we …
A literature review and integrated framework for the determinants of crowdfunding success
Crowdfunding is an innovative strategy for financing a new business venture from the
general public instead of seeking funds in traditional ways, such as issuing bonds or bank …
general public instead of seeking funds in traditional ways, such as issuing bonds or bank …
A review of sentiment analysis research in Arabic language
Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …
increasing attention. However, sentiment analysis research has mainly been carried out for …
Sentiment analysis in e-commerce platforms: A review of current techniques and future directions
H Huang, AA Zavareh, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …
world application of natural language processing in recent times. Its main goal is to identify …