Systematic reviews in sentiment analysis: a tertiary study
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
[HTML][HTML] An effective ensemble deep learning framework for text classification
Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …
models in a variety of text classification tasks. The primary challenge with text classification …
Multi-class sentiment analysis of urdu text using multilingual BERT
Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …
opinions. However, existing research is solely based on the English language with limited …
Deep sentiment analysis using CNN-LSTM architecture of English and Roman Urdu text shared in social media
Sentiment analysis (SA) has been an active research subject in the domain of natural
language processing due to its important functions in interpreting people's perspectives and …
language processing due to its important functions in interpreting people's perspectives and …
The power of talk: Exploring the effects of streamers' linguistic styles on sales performance in B2B livestreaming commerce
B2B livestreaming has become increasingly popular, but few studies have investigated the
role of streamers in these B2B livestreaming events. In contrast to the existing studies that …
role of streamers in these B2B livestreaming events. In contrast to the existing studies that …
Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection
Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …
is becoming increasingly significant in this modern world. However, accurately predicting …
Deep learning-based extraction of algorithmic metadata in full-text scholarly documents
The advancements of search engines for traditional text documents have enabled the
effective retrieval of massive textual information in a resource-efficient manner. However …
effective retrieval of massive textual information in a resource-efficient manner. However …
Improving hate speech detection of Urdu tweets using sentiment analysis
Sentiment Analysis is a technique that is being used abundantly nowadays for customer
reviews analysis, popularity analysis of electoral candidates, hate speech detection and …
reviews analysis, popularity analysis of electoral candidates, hate speech detection and …
Urdu sentiment analysis via multimodal data mining based on deep learning algorithms
Every day, a massive amount of text, audio, and video data is published on websites all over
the world. This valuable data can be used to gauge global trends and public perceptions …
the world. This valuable data can be used to gauge global trends and public perceptions …