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Transformer based deep intelligent contextual embedding for twitter sentiment analysis
Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …
democratized content creation due to the extensive use of social media and has resulted in …
Semeval-2016 task 5: Aspect based sentiment analysis
This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis
(ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task …
(ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task …
[PDF][PDF] Collaboro: a collaborative (meta) modeling tool
Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …
daily tasks, in particular for managing research objects, like publications or datasets. The …
Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction
This paper presents a state-of-the-art approach for sentiment polarity classification. Our
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …
Sentiment analysis of twitter data: A hybrid approach
A Srivastava, V Singh, GS Drall - International Journal of Healthcare …, 2019 - igi-global.com
Over the past few years, the novel appeal and increasing popularity of social networks as a
medium for users to express their opinions and views have created an accumulation of a …
medium for users to express their opinions and views have created an accumulation of a …
[HTML][HTML] Popularity prediction of instagram posts
Predicting the popularity of posts on social networks has taken on significant importance in
recent years, and several social media management tools now offer solutions to improve …
recent years, and several social media management tools now offer solutions to improve …
Leveraging semantics for sentiment polarity detection in social media
With the increase use of microblogs and social media platforms as forms of on-line
communication, we now have a huge amount of opinionated data reflecting people's …
communication, we now have a huge amount of opinionated data reflecting people's …
[書籍][B] Natural language processing for the semantic web
Natural Language Processing (NLP) is the automatic processing of text written in natural
(human) languages (English, French, Chinese, etc.), as opposed to artificial languages such …
(human) languages (English, French, Chinese, etc.), as opposed to artificial languages such …
[PDF][PDF] A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification.
Nowadays, communications made by using the modern Internet-based opportunities have
revolutionized the way people exchange information, allowing real-time discussions among …
revolutionized the way people exchange information, allowing real-time discussions among …
[HTML][HTML] An assessment of deep learning models and word embeddings for toxicity detection within online textual comments
Today, increasing numbers of people are interacting online and a lot of textual comments
are being produced due to the explosion of online communication. However, a paramount …
are being produced due to the explosion of online communication. However, a paramount …