A5034685748- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Wastewater Treatment and Nitrogen Removal
- Text and Document Classification Technologies
- Lymphoma Diagnosis and Treatment
- Spam and Phishing Detection
- Cloud Data Security Solutions
- Environmental remediation with nanomaterials
- Sarcoma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
Chang'an University
2024
Ministry of Water Resources of the People's Republic of China
2024
Hebei Medical University
2024
Fourth Hospital of Hebei Medical University
2024
Xi'an Jiaotong University
2016-2018
Twitter sentiment analysis technology provides the methods to survey public emotion about events or products related them. Most of current researches are focusing on obtaining features by analyzing lexical and syntactic features. These expressed explicitly through words, emoticons, exclamation marks, so on. In this paper, we introduce a word embeddings method obtained unsupervised learning based large twitter corpora, using latent contextual semantic relationships co-occurrence statistical...
Twitter sentiment analysis offers organizations ability to monitor public feeling towards the products and events related them in real time. The first step of is text pre-processing data. Most existing researches about are focused on extraction new features. However, select method ignored. This paper discussed effects classification performance two types tasks, summed up performances six methods using feature models four classifiers five datasets. experiments show that accuracy F1-measure...
Twitter sentiment analysis provides organizations with real-time monitoring of public feelings towards particular products and events related to them. Most existing research is focused on extraction features through lexical syntactic that are expressed explicitly words, emoticons, exclamation marks etc. Single machine learning classifiers usually employed by these approaches for tweet classification. In this paper, we introduce a semantic feature model utilizes co-occurrence statistics...
Subjectivity classification aims to discriminate whether the given text presents opinions or states facts, which is an important foundation and component of sentiment analysis task. The characteristics microblog (e.g., short text, full noise, casual expression, incomplete grammatical structure) bring new challenges subjectivity existing approaches mainly depend on techniques artificially constructing emotional features that are commonly based bag-of-words model, will lead curse...
The efficacy of zero-valent iron (ZVI) for the simultaneous nitrification denitrification and phosphorus removal (SNDPR) process is unclear, although it has been shown in numerous studies to help improve nitrate biological wastewater treatment systems. This study investigated response SNDPR ZVI addition an anaerobic/aerobic/anoxic (An/O/A)-sequencing batch reactor (SBR). results indicated that could promote total inorganic nitrogen (TIN). by was mainly attributed precipitation due situ...