Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response

Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach

(2021) Junaid Wahid et al.   Applied Sciences-Basel

Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis

(2020) Suhyeon Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classifying informative and non-informative tweets from the twitter by adapting image features during disaster

(2020) Sreenivasulu Madichetty et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

(2020) Hamed Jelodar et al.   IEEE Journal of Biomedical and Health Informatics

Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis

(2020) Usman Naseem et al.   Future Generation Computer Systems-The International Journal of eScience

Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data

(2020) Ranjan Kumar Behera et al.   INFORMATION PROCESSING & MANAGEMENT

Twitter speaks: A case of national disaster situational awareness

(2019) Amir Karami et al.   JOURNAL OF INFORMATION SCIENCE

Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data

(2018) Aritz Bilbao-Jayo et al.   International Journal of Distributed Sensor Networks

Text classification method based on self-training and LDA topic models

(2017) Miha Pavlinek et al.   EXPERT SYSTEMS WITH APPLICATIONS

Processing Social Media Messages in Mass Emergency

(2015) Muhammad Imran et al.   ACM COMPUTING SURVEYS

Document-level sentiment classification: An empirical comparison between SVM and ANN

(2012) Rodrigo Moraes et al.   EXPERT SYSTEMS WITH APPLICATIONS