A5059976997- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Quality and Supply Management
- Digital Marketing and Social Media
- Outsourcing and Supply Chain Management
- Public Procurement and Policy
- Natural Language Processing Techniques
Nottingham Trent University
2016-2023
Opinion mining tools enable users to efficiently process a large number of online reviews in order determine the underlying opinions. This paper presents Hybrid Semantic Knowledgebase-Machine Learning approach for opinions at domain feature level and classifying overall opinion on multi-point scale. The proposed benefits from advantages deploying novel Knowledgebase analyse collection produce set structured information that associates expressed with specific features. knowledgebase is...
While text mining and NLP research has been established for decades, there remain gaps in the literature that reports use of these techniques building real-world applications. For example, they typically look at single sometimes simplified tasks, do not discuss in-depth data heterogeneity inconsistency is common problems or their implication on development methods. Also, few prior work focused healthcare domain. In this work, we describe an industry project developed solutions to mine...
With the fast growth of World Wide Web 2.0, a great number opinions about variety products have been published in blogs, forums, and social networks. Opinion mining tools are needed to enable users efficiently process large reviews found online, order determine underlying opinions. This paper presents new methodology for semantic modelling domain knowledge opinion mining. In particular, focuses on such way that it can be translated formal ontology, which then automatically enriched with...
Online opinions play an important role in supporting consumers make decisions about purchasing products or services. In addition, customer reviews allow companies to understand the strengths and limitations of their services, which aids improving marketing campaigns. Such valuable information can only be obtained via appropriate analysis provided by customers who express satisfaction with shopping experience form on-line textual reviews. This paper presents approach extract from online The...
Relation extraction from unstructured Arabic text is especially challenging due to the language complex morphology and variation in word semantics lexical categories. The research documented this paper presents a hybrid Semantic Knowledge base - Machine Learning (SKML) approach for extracting relations documents; proposed exploits principles of Functional Discourse Grammar (FDG) emphasise semantic pragmatic properties facilitate identification relation elements. At initial phase, novel...