A novel dual attention-based BLSTM with hybrid features in speech emotion recognition
Q Chen, G Huang - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Though the emotional state does not alter the content of language, it is a major determinant
in human communication, because it provides much more positive feedback. The purpose of …
in human communication, because it provides much more positive feedback. The purpose of …
Word sense disambiguation: a review
Q Al-Tashi - 2019 - osf.io
In the process of natural language, a lot of words have different connotations. The correct
sense of a word depends upon the context in which the word occurs. Word sense …
sense of a word depends upon the context in which the word occurs. Word sense …
A proposed method using the semantic similarity of WordNet 3.1 to handle the ambiguity to apply in social media text
AM Hasan, N Mohd Noor, TH Rassem… - Information Science and …, 2020 - Springer
The semantic similarity between two concepts is widely used in natural language
processing. In this article, we propose a method using WordNet 3.1 to determine the …
processing. In this article, we propose a method using WordNet 3.1 to determine the …
[PDF][PDF] Knowledge-based semantic relatedness measure using semantic features
Measuring semantic relatedness has received much attention for uses in many fields such
as information retrieval and natural language processing. For handling synonymous …
as information retrieval and natural language processing. For handling synonymous …
A semantic taxonomy for weighting assumptions to reduce feature selection from social media and forum posts
Numerous researchers have worked on the knowledge-based semantics of words to clarify
the ambiguity of (https://github. com/alimuttaleb/Ali-Muttaleb/blob/master/Synonym. txt) …
the ambiguity of (https://github. com/alimuttaleb/Ali-Muttaleb/blob/master/Synonym. txt) …
A Combined Weighting for the Feature-Based Method on Topological Parameters in Semantic Taxonomy Using Social Media
The textual analysis has become most important task due to the rapid increase of the
number of texts that have been continuously generated in several forms such as posts and …
number of texts that have been continuously generated in several forms such as posts and …
A Review of Recent trends: text mining of taxonomy using WordNet 3.1 for the solution and problems of ambiguity in social media
Text processing has been playing a great role in information retrieval to solve the problem of
ambiguity in natural language processing, eg, internet search, data mining, and social …
ambiguity in natural language processing, eg, internet search, data mining, and social …
A Semantic Taxonomy for Weighting Assumptions to Reduce Feature Selection from Social Media and Forum Posts
NM Noor, AM Hasan - Emerging Trends in Intelligent Computing …, 2019 - books.google.com
Numerous researchers have worked on the knowledge-based semantics of words to clarify
the ambiguity of (https://github. com/alimuttaleb/Ali-Muttaleb/blob/master/Synonym. txt) …
the ambiguity of (https://github. com/alimuttaleb/Ali-Muttaleb/blob/master/Synonym. txt) …