Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis
This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely
available text analysis tool that is easy to use, works on most operating systems (Windows …
available text analysis tool that is easy to use, works on most operating systems (Windows …
Exploiting emoticons in sentiment analysis
A Hogenboom, D Bal, F Frasincar, M Bal… - Proceedings of the 28th …, 2013 - dl.acm.org
As people increasingly use emoticons in text in order to express, stress, or disambiguate
their sentiment, it is crucial for automated sentiment analysis tools to correctly account for …
their sentiment, it is crucial for automated sentiment analysis tools to correctly account for …
Senti-N-Gram: An n-gram lexicon for sentiment analysis
Sentiment analysis helps evaluating the performance of products or services from user
generated contents. Lexicon based sentiment analysis approaches are preferred over …
generated contents. Lexicon based sentiment analysis approaches are preferred over …
A topic-enhanced word embedding for Twitter sentiment classification
Word representation is crucial to lexical features used in Twitter sentiment analysis models.
Recent work has demonstrated that dense, low-dimensional and real-valued word …
Recent work has demonstrated that dense, low-dimensional and real-valued word …
Polarity analysis of texts using discourse structure
B Heerschop, F Goossen, A Hogenboom… - Proceedings of the 20th …, 2011 - dl.acm.org
Sentiment analysis has applications in many areas and the exploration of its potential has
only just begun. We propose Pathos, a framework which performs document sentiment …
only just begun. We propose Pathos, a framework which performs document sentiment …
[PDF][PDF] Negation Handling in Sentiment Analysis at Sentence Level.
Sentiment analysis is an automatic way to determine that whether opinions of people about
a subject are favorable or unfavorable. One of the most important sub tasks in sentiment …
a subject are favorable or unfavorable. One of the most important sub tasks in sentiment …
Multi-lingual support for lexicon-based sentiment analysis guided by semantics
A Hogenboom, B Heerschop, F Frasincar… - Decision support …, 2014 - Elsevier
Many sentiment analysis methods rely on sentiment lexicons, containing words and their
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …
Exploiting emoticons in polarity classification of text
A Hogenboom, D Bal, F Frasincar… - Journal of Web …, 2015 - journals.riverpublishers.com
With people increasingly using emoticons in written text on the Web in order to ex-press,
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …
Determining negation scope and strength in sentiment analysis
A Hogenboom, P Van Iterson… - … on systems, man …, 2011 - ieeexplore.ieee.org
A key element for decision makers to track is their stakeholders' sentiment. Recent
developments show a tendency of including various aspects other than word frequencies in …
developments show a tendency of including various aspects other than word frequencies in …
Shape of the uncanny valley and emotional attitudes toward robots assessed by an analysis of YouTube comments
D Ratajczyk - International Journal of Social Robotics, 2022 - Springer
The uncanny valley hypothesis (UVH) suggests that almost, but not fully, humanlike artificial
characters elicit a feeling of eeriness or discomfort in observers. This study used Natural …
characters elicit a feeling of eeriness or discomfort in observers. This study used Natural …