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Aspect based sentiment analysis using deep learning approaches: A survey
The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …
thrust area for researchers, academicians, and businesses to extract information for …
Artificial intelligence methods to support the research of destination image in tourism. A systematic review
Destination Image can be considered as both, a theoretical and practical tool, to better
understand how a destination is perceived in the minds of potential visitors. Given the im …
understand how a destination is perceived in the minds of potential visitors. Given the im …
Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …
embraced by individuals, groups, and organizations as a valuable source of information …
Exploring public response to ChatGPT with sentiment analysis and knowledge map**
J Zhou, Z Liang, Y Fang, Z Zhou - IEEE Access, 2024 - ieeexplore.ieee.org
Information about artificial intelligence generated content (AIGC) has attracted great
attention from the public. ChatGPT has gained attention from many countries due to its …
attention from the public. ChatGPT has gained attention from many countries due to its …
Topic-level sentiment analysis of social media data using deep learning
Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …
sharing views, expressing opinions with regards to current world level events, services …
Bayesian game model based unsupervised sentiment analysis of product reviews
N Punetha, G Jain - Expert Systems with Applications, 2023 - Elsevier
Sentiment Analysis is a task of computationally recognizing and contextualizing opinions
stated in a text. We mainly assess whether the writer's attitude towards a specific topic, or a …
stated in a text. We mainly assess whether the writer's attitude towards a specific topic, or a …
Data-driven implicit design preference prediction model for product concept evaluation via BP neural network and EEG
Customer preference-involved product concept evaluation is a vital stage for develo**
new products. One of the key factors in this stage is to mine the potential relationships …
new products. One of the key factors in this stage is to mine the potential relationships …
[HTML][HTML] Tales of a city: Sentiment analysis of urban green space in Dublin
Social media services such as TripAdvisor and Foursquare can provide opportunities for
users to exchange their opinions about urban green space (UGS). Visitors can exchange …
users to exchange their opinions about urban green space (UGS). Visitors can exchange …
From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …
to their fitness tracking and health monitoring capabilities. However, the abundance of …
[HTML][HTML] Multi-label classification of e-commerce customer reviews via machine learning
The multi-label customer reviews classification task aims to identify the different thoughts of
customers about the product they are purchasing. Due to the impact of the COVID-19 …
customers about the product they are purchasing. Due to the impact of the COVID-19 …