Predicting Personality Traits from Social Media using Text Semantics

Hassanein, Mariam; Hussein, Wedad; Rady, Sherine; Gharib, Tarek F.

doi:10.1109/icces.2018.8639408

Cited by 29 publications

(12 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of researchers used text mining technology to design predictors for the recognition of personality traits. For example, Hassanein et al (2018) proposed a method for personality traits prediction based on text semantic analysis. Souri et al (2018) represented a model based on boosting-decision tree to recognize user personality by their profile on Facebook.…”

Section: Text Mining and Personality Assessmentmentioning

confidence: 99%

Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining

Zhu

Zhou

et al. 2021

Front. Psychol.

View full text Add to dashboard Cite

This prospective study was designed to propose a novel method of assessing proactive personality by combining text mining technology and Item Response Theory (IRT) to measure proactive personality more efficiently. We got freely expressed texts (essay question text dataset and social media text dataset) and item response data on the topic of proactive personality from 901 college students. To enhance validity and reliability, three different approaches were employed in the study. In Method 1, we used item response data to develop a proactive personality evaluation model based on IRT. In Method 2, we used freely expressed texts to develop a proactive personality evaluation model based on text mining. In Method 3, we utilized the text mining results as the prior information for the IRT estimation and built a proactive personality evaluation model combining text mining and IRT. Finally, we evaluated those three approaches via the confusion matrix indicators. The major result revealed that (1) the combined method based on essay question text, micro-blog text with pre-estimated IRT parameters performed the highest accuracy of 0.849; (2) the combined method using essay question text and pre-estimated IRT parameters performed the highest sensitivity of 0.821; (3) the text classification method based on essay question text had the best performance on the specificity of 0.959; and (4) if the models were considered comprehensively, the combined method using essay question text, micro-blog text, and pre-estimated IRT parameters achieved the best performance. Thus, we concluded that the novel combined method was significantly better than the other two traditional methods based on IRT and text mining.

show abstract

Section: Text Mining and Personality Assessmentmentioning

confidence: 99%

Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining

Zhu

Zhou

et al. 2021

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…It is important to notice that in the Western media practice the term media persona (or media personality) is actively used, which means a significant person in the center of world events, press attention, for example, such a media personality is a politician, a show man, a TV news presenter in prime time, a popular actor, a singer etc. In the scientific literature we may meet this term in researches of the philosophers (Marlon, 2017); sociologists (Perse & Rubin, 1989;Polonskiy, 2018) who focus their attention on social and parasocial interaction of mass media with recipients (mass media persona); specialists in the field of IT (Farnandi et al, 2016); psychologists (Bandura, 2008;Golbeck, 2016) and psycholinguists (Hassanein, Hussein, Rady, & Gharib, 2018), who think about the role of mass media in understanding of psycho sociological mechanisms, which make the symbolic communication influence the human thought; linguists, specialists in mass communications (Corner, 2007;Xing, Ke, Zongyuan, & Jian, 2018;Ukhova, 2016), who study the influence of various media on the communicative practices of a person (mediated persona) etc. In our mini-research we try to define the key moments for the description of the phenomenon of media person from the point of view of the realization of his language abilities, because we believe that any language person may be a potential media person.…”

Section: Purpose Of the Studymentioning

confidence: 99%

Media Person As The Basic Notion Of New Communicative Reality

Selyutin¹

2019

The European Proceedings of Social and Behavioural Sciences

View full text Add to dashboard Cite

show abstract

“…Author Lei Zhang [16] suggested a new interaction learning model based on the situation. In this technique, the situation obtained is characterized by the DIAMONDS lexicon and th e interaction calculated.The author Hassanein [13] combined several depictions of user texts with several semantinal meas ures in their Facebook status updates to predict their users ' personality.Author Ahmad [19],analyzed tweets using the fra mework of DISC(Dominance, Influence, Compliance, Stead iness). They have clustered and more than 1 million tweets and analyzed it for sentiment.…”

Section: A Research Reviewmentioning

confidence: 99%

Personality Prediction from Social Networks text using Machine Learning

Bhamare*,

Kumar

2019

IJRTE

View full text Add to dashboard Cite

Personality, a typical way of thinking, feeling, and behaviour. Personality embraces moods, attitudes and views and is expressed most obviously in relationships with others. It involves both intrinsic and acquired behavioural features that differentiate one individual from another and can be found in the relationships of people with the surroundings and with the social group. With the development of social networks, a broad variety of techn iques have been developed to identify user personalities based on their social activities and language usage practices. In terms of distinct machine learning algorithms, information sources and function sets, particular methods vary. Personality prediction has been an important research topic for describing user profiles and person not only in psychology but also in computer science. This paper presents a systematic survey of current work done of personality prediction from social networks. We also prepared a Comparison chart of existing techniques for personality prediction on the basis of relevant parameters. Based on this survey, we finally presented a few future research directions related to personality prediction.

show abstract

Predicting Personality Traits from Social Media using Text Semantics

Cited by 29 publications

References 17 publications

Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining

Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining

Media Person As The Basic Notion Of New Communicative Reality

Personality Prediction from Social Networks text using Machine Learning

Contact Info

Product

Resources

About