A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
MMA Busst, KSM Anbananthen, S Kannan… - IEEE …, 2024 - ieeexplore.ieee.org
Aspect extraction poses a significant challenge in Natural Language Processing (NLP).
Extracting explicit and implicit aspects from online text data remains an ongoing challenge …
Extracting explicit and implicit aspects from online text data remains an ongoing challenge …
[PDF][PDF] Aspect-based sentiment analysis of financial headlines and microblogs using semantic similarity and bidirectional long short-term memory
Financial headlines and microblogs usually have sentiment of finance and research further
about aspect of sentiment analysis still needed. From dataset FiQA 2018 challenges 4 …
about aspect of sentiment analysis still needed. From dataset FiQA 2018 challenges 4 …
A dataset for Sentiment analysis of Entities in News headlines (SEN)
K Baraniak, M Sydow - Procedia Computer Science, 2021 - Elsevier
On-line news portals play a very important role in the information society. Fair media should
present reliable and objective information. In practice there is an observable positive or …
present reliable and objective information. In practice there is an observable positive or …
A Hybrid Deep Learning Network for Sentiment Analysis on SemEval-2017 Dataset
B Sar-Saifee, J Tanha, M Aeini - 2023 28th International …, 2023 - ieeexplore.ieee.org
Nowadays, the vast amount of information on the internet enables people to be informed of
other thoughts and ideas quickly and get an insight to use in their decisions. Knowing how …
other thoughts and ideas quickly and get an insight to use in their decisions. Knowing how …