A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
Sentiment analysis of customer feedback and reviews for airline services using language representation model
The competitive airline sector has grown at a breakneck pace in the last two decades. A
useful source for collecting consumer feedback and performing various forms of analysis on …
useful source for collecting consumer feedback and performing various forms of analysis on …
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
Social media (and the world at large) have been awash with news of the COVID-19
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
Transformer based deep intelligent contextual embedding for twitter sentiment analysis
Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …
democratized content creation due to the extensive use of social media and has resulted in …
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter
Pre-processing plays an essential role in disambiguating the meaning of short-texts, not only
in applications that classify short-texts but also for clustering and anomaly detection. Pre …
in applications that classify short-texts but also for clustering and anomaly detection. Pre …
[HTML][HTML] Technological and educational challenges towards pandemic-resilient aviation
While COVID-19 has devastating effects on aviation, several recent studies have highlighted
the potential of the pandemic-induced break for rethinking air transportation, hopefully …
the potential of the pandemic-induced break for rethinking air transportation, hopefully …
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges
Next‐generation wireless communication networks, in particular, the densified 5G will bring
many developments to the existing telecommunications industry. The key benefits will be the …
many developments to the existing telecommunications industry. The key benefits will be the …
A novel deep learning based sentiment analysis of twitter data for us airline service
The airline industry has evolved quite dynamically over the last two decades. Airline firms
use traditional customer feedback types that are very routine and time-intensive. Sentiment …
use traditional customer feedback types that are very routine and time-intensive. Sentiment …
A comparative analysis of active learning for biomedical text mining
An enormous amount of clinical free-text information, such as pathology reports, progress
reports, clinical notes and discharge summaries have been collected at hospitals and …
reports, clinical notes and discharge summaries have been collected at hospitals and …
Fault detection in wireless sensor network based on deep learning algorithms
This paper is about Fault detection over a wireless sensor network in a fully distributed
manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points …
manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points …