Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
[HTML][HTML] Analytics of social media data–State of characteristics and application
The spread and use of social networks provide a rich data source that can be used to
answer a wide range of research questions from various disciplines. However, the nature of …
answer a wide range of research questions from various disciplines. However, the nature of …
Machine learning in marketing: A literature review, conceptual framework, and research agenda
EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …
considerable attention in different industry sectors, including marketing. ML and AI hold …
Identification of cyber harassment and intention of target users on social media platforms
S Abarna, JI Sheeba, S Jayasrilakshmi… - … applications of artificial …, 2022 - Elsevier
Due to Coronavirus diseases in 2020, all the countries departed into lockdown to combat the
spread of the pandemic situation. Schools and institutions remain closed and students' …
spread of the pandemic situation. Schools and institutions remain closed and students' …
Twitter sentiment analysis on online food services based on elephant herd optimization with hybrid deep learning technique
Twitter is a social media stage, making it a valuable resource for learning about people's
opinions, feelings, and thoughts. For this reason, experts came up with methods to analyse …
opinions, feelings, and thoughts. For this reason, experts came up with methods to analyse …
[HTML][HTML] Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter
Introduction While public health campaigns disseminated through Twitter have multiple
theoretical advantages over other strategies (eg, a high potential reach and low economic …
theoretical advantages over other strategies (eg, a high potential reach and low economic …
Systematic Literature Review: Peran Media Sosial Instagram Terhadap Perkembangan Digital Marketing
NI Watajdid, A Lathifah, DS Andini… - Jurnal Sains Pemasaran …, 2021 - ejournal.undip.ac.id
Masalah utama dalam komunikasi pemasaran adalah saluran komunikasi yang dapat
digunakan dalam program pemasaran. Tujuan penelitian ini adalah untuk menjawab …
digunakan dalam program pemasaran. Tujuan penelitian ini adalah untuk menjawab …
Spider monkey crow optimization algorithm with deep learning for sentiment classification and information retrieval
The epidemic increase in online reviews' growth made the sentiment classification a
fascinating domain in academic and industrial research. The reviews assist several …
fascinating domain in academic and industrial research. The reviews assist several …
Can social media listening platforms' artificial intelligence be trusted? Examining the accuracy of Crimson Hexagon's (now Brandwatch Consumer Research's) AI …
Practitioners and scholars increasingly employ social media listening platforms (SMLPs)
driven by artificial intelligence (AI) to extract actionable insights from large amounts of social …
driven by artificial intelligence (AI) to extract actionable insights from large amounts of social …
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
K Bu, Y Liu, X Ju - Knowledge-Based Systems, 2023 - Elsevier
Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …