Impact of word embedding models on text analytics in deep learning environment: a review
The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
The now and future of ChatGPT and GPT in psychiatry
SW Cheng, CW Chang, WJ Chang… - Psychiatry and …, 2023 - Wiley Online Library
ChatGPT has sparked extensive discussions within the healthcare community since its
November 2022 release. However, potential applications in the field of psychiatry have …
November 2022 release. However, potential applications in the field of psychiatry have …
[HTML][HTML] Combining machine learning algorithms for personality trait prediction
Personality is a unique trait that allows discriminating between individuals. It can be defined
by a set of stable characteristics of an individual that may affect their interactions …
by a set of stable characteristics of an individual that may affect their interactions …
The power of personalization: A systematic review of personality-adaptive chatbots
Conversation serves as a crucial means for individuals to express their intentions, feelings,
attitudes, and personalities, making natural conversational interaction a vital technical …
attitudes, and personalities, making natural conversational interaction a vital technical …
A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection
H Lin, C Wang, Q Hao - Information Processing & Management, 2023 - Elsevier
Existing personality detection methods based on user-generated text have two major
limitations. First, they rely too much on pre-trained language models to ignore the sentiment …
limitations. First, they rely too much on pre-trained language models to ignore the sentiment …
[HTML][HTML] Benchmark Arabic news posts and analyzes Arabic sentiment through RMuBERT and SSL with AMCFFL technique
Sentiment analysis aims to extract emotions from textual data; sentiment analysis and text
recognition are two of the most common tasks associated with natural language processing …
recognition are two of the most common tasks associated with natural language processing …
A deep learning approach to text-based personality prediction using multiple data sources map**
JJ Sirasapalli, RM Malla - Neural Computing and Applications, 2023 - Springer
Automated personality traits prediction from widely available social media text data, is
finding its increased applications in recommender systems, psychology, forecasting, and …
finding its increased applications in recommender systems, psychology, forecasting, and …
[HTML][HTML] Towards job screening and personality traits estimation from video transcriptions
In recent years, natural language processing (NLP) has gained new territory beyond its
traditional use in text mining applications. This paper shows the effectiveness of NLP …
traditional use in text mining applications. This paper shows the effectiveness of NLP …
AI-based personality prediction for human well-being from text data: a systematic review
S Singh, W Singh - Multimedia Tools and Applications, 2024 - Springer
In recent years, people have preferred interacting on social media instead of physical
meetings. Researchers have explored social media text data to predict user personality …
meetings. Researchers have explored social media text data to predict user personality …
Knowledge Graph‐Enabled Text‐Based Automatic Personality Prediction
How people think, feel, and behave primarily is a representation of their personality
characteristics. By being conscious of the personality characteristics of individuals whom we …
characteristics. By being conscious of the personality characteristics of individuals whom we …