[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …
been developed and become an important part of modern life. Massive amounts of user …
[HTML][HTML] Innovative Forward fusion feature selection algorithm for sentiment analysis using supervised classification
Sentiment analysis is considered one of the significant trends of the recent few years. Due to
the high importance and increasing use of social media and electronic services, the need for …
the high importance and increasing use of social media and electronic services, the need for …
A Novel CNN‐Inception‐V4‐Based Hybrid Approach for Classification of Breast Cancer in Mammogram Images
Breast cancer is the most frequent disease in women, with one in every 19 women at risk.
Breast cancer is the fifth leading cause of cancer death in women around the world. The …
Breast cancer is the fifth leading cause of cancer death in women around the world. The …
[HTML][HTML] Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
The transformation from authoritative to user-generated data landscapes has garnered
considerable attention, notably with the proliferation of crowdsourced geospatial data …
considerable attention, notably with the proliferation of crowdsourced geospatial data …
[HTML][HTML] Know an emotion by the company it keeps: Word embeddings from Reddit/coronavirus
A García-Rudolph, D Sanchez-Pinsach, D Frey… - Applied Sciences, 2023 - mdpi.com
Social media is a crucial communication tool (eg, with 430 million monthly active users in
online forums such as Reddit), being an objective of Natural Language Processing (NLP) …
online forums such as Reddit), being an objective of Natural Language Processing (NLP) …
[HTML][HTML] Spatial impressions monitoring during COVID-19 pandemic using machine learning techniques
During the COVID-19 epidemic, Twitter has become a vital platform for people to express
their impressions and feelings towards the COVID-19 epidemic. There is an unavoidable …
their impressions and feelings towards the COVID-19 epidemic. There is an unavoidable …
Impact of healthcare on stock market volatility and its predictive solution using improved neural network
The unprecedented Corona Virus Disease (COVID‐19) pandemic has put the world in peril
and shifted global landscape in unanticipated ways. The SARSCoV2 virus, which caused …
and shifted global landscape in unanticipated ways. The SARSCoV2 virus, which caused …
[PDF][PDF] Enhanced Sentiment Analysis Algorithms for Multi-Weight Polarity Selection on Twitter Dataset.
AM Mostafa - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
Sentiment analysis is based on the orientation of user attitudes and satisfaction towards
services and subjects. Different methods and techniques have been introduced to analyze …
services and subjects. Different methods and techniques have been introduced to analyze …
[HTML][HTML] The predictive power of social media sentiment: Evidence from cryptocurrencies and stock markets using nlp and stochastic anns
G di Tollo, J Andria, G Filograsso - Mathematics, 2023 - mdpi.com
Cryptocurrencies are nowadays seen as an investment opportunity, since they show some
peculiar features, such as high volatility and diversification properties, that are triggering …
peculiar features, such as high volatility and diversification properties, that are triggering …
Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language
The swift growth of social networks has enabled easy access to a wealth of user‐created
information for public assessment. These data hold potential for various uses, including …
information for public assessment. These data hold potential for various uses, including …