Task-technology fit and technology acceptance model application to structure and evaluate the adoption of social media in academia
The purpose of this article was to reduce the dissimilarities in the literature regarding the use
of social media for training and its impact on students' academic performance in higher …
of social media for training and its impact on students' academic performance in higher …
Analytical map** of opinion mining and sentiment analysis research during 2000–2015
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
A hybrid latent space data fusion method for multimodal emotion recognition
Multimodal emotion recognition is an emerging interdisciplinary field of research in the area
of affective computing and sentiment analysis. It aims at exploiting the information carried by …
of affective computing and sentiment analysis. It aims at exploiting the information carried by …
Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis
Sentiment analysis is held to be one of the highly dynamic recent research fields in Natural
Language Processing, facilitated by the quickly growing volume of Web opinion data. Most …
Language Processing, facilitated by the quickly growing volume of Web opinion data. Most …
An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews
In this study, we present a novel method in generating summaries of multiple online reviews
using a fine-grained sentiment extraction model for short texts, which is adaptable to …
using a fine-grained sentiment extraction model for short texts, which is adaptable to …
The added value of auxiliary data in sentiment analysis of Facebook posts
The purpose of this study is to (1) assess the added value of information available before (ie,
leading) and after (ie, lagging) the focal post's creation time in sentiment analysis of …
leading) and after (ie, lagging) the focal post's creation time in sentiment analysis of …
Words are important: Improving sentiment analysis in the persian language by lexicon refining
Lexicon-based sentiment analysis (SA) aims to address the problem of extracting people's
opinions from their comments on the Web using a predefined lexicon of opinionated words …
opinions from their comments on the Web using a predefined lexicon of opinionated words …
Sentence-level sentiment analysis in Persian
Sentiment analysis (SA) is a subfield of natural language processing and data mining which
concerns the problem of extracting useful information from users' comments on the Web …
concerns the problem of extracting useful information from users' comments on the Web …
[PDF][PDF] Operationalizing regulatory focus in the digital age: Evidence from an e-commerce context
We preprocessed the reviews using the Institute of Computing Technology of the Chinese
Academy of Sciences' system to decompose them into words and phrases. The sentiment …
Academy of Sciences' system to decompose them into words and phrases. The sentiment …
HOMPer: A new hybrid system for opinion mining in the Persian language
Opinion mining is a subfield of data mining and natural language processing that concerns
with extracting users' opinion and attitude towards products or services from their comments …
with extracting users' opinion and attitude towards products or services from their comments …