Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis

SA Crossley, K Kyle, DS McNamara - Behavior research methods, 2017 - Springer
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 …

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 …

Senti-N-Gram: An n-gram lexicon for sentiment analysis

A Dey, M Jenamani, JJ Thakkar - Expert Systems with Applications, 2018 - Elsevier
Sentiment analysis helps evaluating the performance of products or services from user
generated contents. Lexicon based sentiment analysis approaches are preferred over …

A topic-enhanced word embedding for Twitter sentiment classification

Y Ren, R Wang, D Ji - Information Sciences, 2016 - Elsevier
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 …

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 …

[PDF][PDF] Negation Handling in Sentiment Analysis at Sentence Level.

U Farooq, H Mansoor, A Nongaillard, Y Ouzrout… - J. Comput., 2017 - jcomputers.us
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 …

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 …

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 …

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 …

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 …