Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
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 …
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 …
Comparison research on text pre-processing methods on twitter sentiment analysis
Z Jianqiang, G **aolin - IEEE access, 2017 - ieeexplore.ieee.org
Twitter sentiment analysis offers organizations ability to monitor public feeling towards the
products and events related to them in real time. The first step of the sentiment analysis is …
products and events related to them in real time. The first step of the sentiment analysis is …
The state-of-the-art in Twitter sentiment analysis: A review and benchmark evaluation
Twitter has emerged as a major social media platform and generated great interest from
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …
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 …
[PDF][PDF] Predicting polarities of tweets by composing word embeddings with long short-term memory
In this paper, we introduce Long Short-Term Memory (LSTM) recurrent network for twitter
sentiment prediction. With the help of gates and constant error carousels in the memory …
sentiment prediction. With the help of gates and constant error carousels in the memory …
Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
M Ghiassi, J Skinner, D Zimbra - Expert Systems with applications, 2013 - Elsevier
Twitter messages are increasingly used to determine consumer sentiment towards a brand.
The existing literature on Twitter sentiment analysis uses various feature sets and methods …
The existing literature on Twitter sentiment analysis uses various feature sets and methods …
Semantic sentiment analysis of twitter
Sentiment analysis over Twitter offer organisations a fast and effective way to monitor the
publics' feelings towards their brand, business, directors, etc. A wide range of features and …
publics' feelings towards their brand, business, directors, etc. A wide range of features and …
Ontology-based sentiment analysis of twitter posts
The emergence of Web 2.0 has drastically altered the way users perceive the Internet, by
improving information sharing, collaboration and interoperability. Micro-blogging is one of …
improving information sharing, collaboration and interoperability. Micro-blogging is one of …