Sentiment analysis leveraging emotions and word embeddings
Sentiment analysis and opinion mining are valuable for extraction of useful subjective
information out of text documents. These tasks have become of great importance, especially …
information out of text documents. These tasks have become of great importance, especially …
[PDF][PDF] A survey of text mining in social media: Facebook and Twitter perspectives
Text mining has become one of the trendy fields that has been incorporated in several
research fields such as computational linguistics, Information Retrieval (IR) and data mining …
research fields such as computational linguistics, Information Retrieval (IR) and data mining …
A novel sentiment analysis framework for monitoring the evolving public opinion in real-time: Case study on climate change
Smart city analytics involves tracking, interpreting, and evaluating the sentiments and
emotions that are shared via online social media channels. Sentiment analysis of social …
emotions that are shared via online social media channels. Sentiment analysis of social …
[HTML][HTML] Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication
Social media has become extremely influential when it comes to policy making in modern
societies, especially in the western world, where platforms such as Twitter allow users to …
societies, especially in the western world, where platforms such as Twitter allow users to …
An Arabic social media based framework for incidents and events monitoring in smart cities
Smart city initiatives aim at leveraging human, collective, and technological capital to ensure
sustainable development and quality of life for their citizens. Offering efficient and …
sustainable development and quality of life for their citizens. Offering efficient and …
A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets
B Charalampakis, D Spathis, E Kouslis… - … Applications of Artificial …, 2016 - Elsevier
The present work describes a classification schema for irony detection in Greek political
tweets. Our hypothesis states that humorous political tweets could predict actual election …
tweets. Our hypothesis states that humorous political tweets could predict actual election …
A novel, gradient boosting framework for sentiment analysis in languages where NLP resources are not plentiful: A case study for modern Greek
V Athanasiou, M Maragoudakis - Algorithms, 2017 - mdpi.com
Sentiment analysis has played a primary role in text classification. It is an undoubted fact that
some years ago, textual information was spreading in manageable rates; however …
some years ago, textual information was spreading in manageable rates; however …
The modern Greek language on the social web: A survey of data sets and mining applications
Mining social web text has been at the heart of the Natural Language Processing and Data
Mining research community in the last 15 years. Though most of the reported work is on …
Mining research community in the last 15 years. Though most of the reported work is on …
Facebook analysis of community sentiment on 2019 Indonesian presidential candidates from Facebook opinion data
Abstract On April 17, 2019, Indonesia will hold a presidential general election. Analysis of
public sentiment towards presidential candidates and vice-presidential candidates of …
public sentiment towards presidential candidates and vice-presidential candidates of …
A sentiment reporting framework for major city events: Case study on the China-United States trade war
Smart cities are conceptualized as a vehicle for sustainable urban development and a
means to deliver high quality of life for residents. One of the core functions of a smart city …
means to deliver high quality of life for residents. One of the core functions of a smart city …