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Like it or not: A survey of twitter sentiment analysis methods
Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …
one of the most popular microblog platforms on which users can publish their thoughts and …
[HTML][HTML] Twitter as a predictive system: a systematic literature review
Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data
Abstract Analysis of consumer reviews posted on social media is found to be essential for
several business applications. Consumer reviews posted in social media are increasing at …
several business applications. Consumer reviews posted in social media are increasing at …
Deep convolution neural networks for twitter sentiment analysis
Z Jianqiang, G **aolin, Z Xuejun - IEEE access, 2018 - ieeexplore.ieee.org
Twitter sentiment analysis technology provides the methods to survey public emotion about
the events or products related to them. Most of the current researches are focusing on …
the events or products related to them. Most of the current researches are focusing on …
[HTML][HTML] Big Data: Deep Learning for financial sentiment analysis
Deep Learning and Big Data analytics are two focal points of data science. Deep Learning
models have achieved remarkable results in speech recognition and computer vision in …
models have achieved remarkable results in speech recognition and computer vision in …
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 …
Contextual semantics for sentiment analysis of Twitter
Sentiment analysis on Twitter has attracted much attention recently due to its wide
applications in both, commercial and public sectors. In this paper we present SentiCircles, a …
applications in both, commercial and public sectors. In this paper we present SentiCircles, a …
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics
Social media is popular in our society right now. People are using social media platforms to
purchase various products. We collected the data from various social media platforms. We …
purchase various products. We collected the data from various social media platforms. We …
Partisan public health: how does political ideology influence support for COVID-19 related misinformation?
NF Havey - Journal of Computational Social Science, 2020 - Springer
This study analyzes over 4000 tweets related to six misinformation topics about the COVID-
19 pandemic: the use of hydroxychloroquine as treatment, the use of bleach as a …
19 pandemic: the use of hydroxychloroquine as treatment, the use of bleach as a …