Georgios Paltoglou
Biographic Data
| ID | 3093272 |
|---|---|
| NAME | Georgios Paltoglou |
| GIVEN NAMES | Georgios |
| FAMILY NAME | Paltoglou |
| SIGNATURE | PALTOGLOU G |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Signals of Public Opinion in Online Communication
This study offers a systematic comparison of automated content analysis tools. The ability of different lexicons to correctly identify affective tone (e.g., positive vs. negative) is assessed in different social media environments. Our comparisons examine the reliability and validity of publicly available, off-the-shelf classifiers. We use datasets from a range of online sources that vary in the diversity and formality of the language used, and w…
Collective Emotions Online
Sentiment strength detection for the social web
Sentiment analysis is concerned with the automatic extraction of sentiment‐related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that c…
Sentiment strength detection in short informal text
A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emotion in this informal communication and also to identify inappropriate or anomalous affective uttera…
Sentiment in Twitter events
The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 even…
Signals of Public Opinion in Online Communication
This study offers a systematic comparison of automated content analysis tools. The ability of different lexicons to correctly identify affective tone (e.g., positive vs. negative) is assessed in different social media environments. Our comparisons examine the reliability and validity of publicly available, off-the-shelf classifiers. We use datasets from a range of online sources that vary in the diversity and formality of the language used, and w…
Sentiment strength detection in short informal text
A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emotion in this informal communication and also to identify inappropriate or anomalous affective uttera…
Sentiment in Twitter events
The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 even…
Sentiment strength detection for the social web
Sentiment analysis is concerned with the automatic extraction of sentiment‐related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that c…
Collective Emotions Online
Signals of Public Opinion in Online Communication
This study offers a systematic comparison of automated content analysis tools. The ability of different lexicons to correctly identify affective tone (e.g., positive vs. negative) is assessed in different social media environments. Our comparisons examine the reliability and validity of publicly available, off-the-shelf classifiers. We use datasets from a range of online sources that vary in the diversity and formality of the language used, and w…
Computer Science (5 works) · Sentiment analysis (4 works) · World Wide Web (4 works) · Artificial Intelligence (3 works) · Natural language processing (3 works) · Opinion Dynamics and Social Influence (3 works) · Psychology (3 works) · Sentiment Analysis and Opinion Mining (3 works) · Advanced Text Analysis Techniques (2 works) · Artificial Intelligence (2 works)