Text mining in big data analytics
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …
unstructured textual data by analyzing it to extract new knowledge and to identify significant …
Semantic text classification: A survey of past and recent advances
Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …
generally using machine learning algorithms. Generally speaking, it is one of the most …
Comparison of text preprocessing methods
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit
Methods for document clustering and topic modelling in online social networks (OSNs) offer
a means of categorising, annotating and making sense of large volumes of user generated …
a means of categorising, annotating and making sense of large volumes of user generated …
[PDF][PDF] A survey of text mining in social media: Facebook and Twitter perspectives
Text mining has become one of the trendy fields that has been incorporated in several
research fields such as computational linguistics, Information Retrieval (IR) and data mining …
research fields such as computational linguistics, Information Retrieval (IR) and data mining …
Using text mining techniques for extracting information from research articles
Nowadays, research in text mining has become one of the widespread fields in analyzing
natural language documents. The present study demonstrates a comprehensive overview …
natural language documents. The present study demonstrates a comprehensive overview …
[PDF][PDF] Detection of hate speech in social networks: a survey on multilingual corpus
In social media platforms, hate speech can be a reason of “cyber conflict” which can affect
social life in both of individual-level and country-level. Hateful and antagonistic content …
social life in both of individual-level and country-level. Hateful and antagonistic content …
Detection of hate speech in Arabic tweets using deep learning
Nowadays, people are communicating through social networks everywhere. However, for
whatever reason it is noticeable that verbal misbehaviors, such as hate speech is now …
whatever reason it is noticeable that verbal misbehaviors, such as hate speech is now …
Predictive analysis on Twitter: Techniques and applications
Predictive analysis of social media data has attracted considerable attention from the
research community as well as the business world because of the essential and actionable …
research community as well as the business world because of the essential and actionable …
[HTML][HTML] Is the circular economy proposed as sustainability in firm mission statements? A semantic analysis
Clean production, the circular economy and eco-innovation aim at supporting global
resilience and sustainability. The present work examines the conceptualization of the …
resilience and sustainability. The present work examines the conceptualization of the …