Sentiment analysis

Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. With the rise of deep language models, such as RoBERTa, also more difficult data domains can be analyzed, e.g., news texts where authors typically express their opinion/sentiment less explicitly. The objective and challenges of sentiment analysis can be shown through some simple examples. Coronet has the best lines of all day cruisers. Bertram has a deep V hull and runs easily through seas. Pastel-colored 1980s day cruisers from Florida are ugly. I dislike old cabin cruisers. I do not dislike cabin cruisers. (Negation handling) Disliking watercraft is not really my thing. (Negation, inverted word order) Sometimes I really hate RIBs. (Adverbial modifies the sentiment) I'd really truly love going out in this weather! (Possibly sarcastic) Chris Craft is better looking than Limestone. (Two brand names, identifying the target of attitude is difficult). Chris Craft is better looking than Limestone, but Limestone projects seaworthiness and reliability. (Two attitudes, two brand names). The movie is surprising with plenty of unsettling plot twists. (Negative term used in a positive sense in certain domains). You should see their decadent dessert menu. (Attitudinal term has shifted polarity recently in certain domains) I love my mobile but would not recommend it to any of my colleagues. (Qualified positive sentiment, difficult to categorise) Next week's gig will be right koide9! ("Quoi de neuf?", French for "what's new?". Newly minted terms can be highly attitudinal but volatile in polarity and often out of known vocabulary.

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Summary

Categories

Official source

https://en.wikipedia.org/wiki/Sentiment_analysis

About this result

Related categories (17)

Related concepts (5)

Related courses (5)

Related lectures (32)

Related MOOCs (10)

Related people (33)

Related publications (259)

Related units (15)

Emotion classification

Emotion classification, the means by which one may distinguish or contrast one emotion from another, is a contested issue in emotion research and in affective science. Researchers have approached the classification of emotions from one of two fundamental viewpoints: that emotions are discrete and fundamentally different constructs that emotions can be characterized on a dimensional basis in groupings In discrete emotion theory, all humans are thought to have an innate set of basic emotions that are cross-culturally recognizable.

Affective computing

Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion, the more modern branch of computer science originated with Rosalind Picard's 1995 paper on affective computing and her book Affective Computing published by MIT Press.

Facial expression

A facial expression is one or more motions or positions of the muscles beneath the skin of the face. According to one set of controversial theories, these movements convey the emotional state of an individual to observers. Facial expressions are a form of nonverbal communication. They are a primary means of conveying social information between humans, but they also occur in most other mammals and some other animal species. (For a discussion of the controversies on these claims, see Fridlund and Russell & Fernandez Dols.

“But of course i’m going to look happy” or “He needed to know I was angry”? Comparing use of emotional labour in teamwork in engineering and hospitality students

Roland John Tormey, Nihat Kotluk

Being able to work effectively in a team is a vital professional skill but how do students in different disciplines, engineering and hospitality, display their emotions when working together? We investigated their self-reported use of emotional labour stra ...

EAPRIL - European Association for Practitioner Research on Improving Learning2024

Cancer is among the leading causes of death worldwide, and as knowledge of the disease continues to grow there is an increasing interest towards precision medicine: more specifically towards the theranostics field, i.e the development of targeted molecular ...

EPFL2024

Understanding the sentiment associated with cultural ecosystem services using images and text from social media

Devis Tuia

Social media is increasingly being employed to develop Cultural Ecosystem Services (CES) indicators. The image-sharing platform Flickr has been one of the most popular sources of data. Most large-scale studies, however, tend to only use the number of image ...

2024

HUM-239: Psychology of emotion

On s'intéresse ici à nos réactions émotionnelles : comment elles émergent ? Quelles sont les théories du domaine ? Comment elles influencent notre quotidien ? Nous nous pencherons aussi sur les phénom

HUM-478: Emotion and value I

Most of us aspire to live meaningful lives. Yet, many of us would struggle to explain what a meaningful life is. This course provides philosophical tools and frameworks useful to understand our aspira

HUM-351: Becoming an ethical engineer

Students will develop an understanding of the psychological and social processes of learning the following competences: (i) ethical sensitivity, (ii) ethical reasoning, (iii) ethical motivation, and (

The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.

Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t

Computer vision tasks include methods for , , and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images (the input to the retina in the human analog) into descriptions of the world that make sense to thought processes and can elicit appropriate action.

Positive psychology is a branch of psychology that studies the conditions that contribute to the optimal functioning of people, groups, and institutions. It studies "positive subjective experience, positive individual traits, and positive institutions... it aims to improve quality of life." It is a field of study that has grown as individuals and researchers look for common ground on better well-being. Positive psychology began as a new domain of psychology in 1998 when Martin Seligman chose it as the theme for his term as president of the American Psychological Association.

Mass communication is the process of imparting and exchanging information through mass media to large population segments. It utilizes various forms of media as technology has made the dissemination of information more efficient. Primary examples of platforms utilized and examined include journalism and advertising. Mass communication, unlike interpersonal communication and organizational communication, focuses on particular resources transmitting information to numerous receivers.

Musical Features: Emotion & Expression

Explores how music communicates emotions through various features and syntactic structures, impacting listeners' responses and performers' expressions.

Music and Emotion: Understanding Expressive Communication

Explores the communication differences between music and language, models of emotion, and how emotions can be measured in music.

Affective Computing: Theories, Applications, and Predictive Models CS-421: Machine learning for behavioral data

Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.