Aldabbas et al., 2020 - Google Patents
Google play content scraping and knowledge engineering using natural language processing techniques with the analysis of user reviewsAldabbas et al., 2020
View HTML- Document ID
- 8420276100955610476
- Author
- Aldabbas H
- Bajahzar A
- Alruily M
- Qureshi A
- Amir Latif R
- Farhan M
- Publication year
- Publication venue
- Journal of Intelligent Systems
External Links
Snippet
To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user's feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/30707—Clustering or classification into predefined classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2785—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hamed et al. | Fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users’ comments | |
| Aldabbas et al. | Google play content scraping and knowledge engineering using natural language processing techniques with the analysis of user reviews | |
| Iqbal et al. | Sentiment analysis of consumer reviews using deep learning | |
| Samuel et al. | Covid-19 public sentiment insights and machine learning for tweets classification | |
| Thaher et al. | Intelligent detection of false information in arabic tweets utilizing hybrid harris hawks based feature selection and machine learning models | |
| Ali | Arabic sentiment analysis about online learning to mitigate covid-19 | |
| Mujahid et al. | Analyzing sentiments regarding ChatGPT using novel BERT: a machine learning approach | |
| Alanazi et al. | Public’s mental health monitoring via sentimental analysis of financial text using machine learning techniques | |
| Šandor et al. | Sarcasm detection in online comments using machine learning | |
| Haque et al. | Data-driven solution to identify sentiments from online drug reviews | |
| Maslej-Krešňáková et al. | Use of data augmentation techniques in detection of antisocial behavior using deep learning methods | |
| Muqadas et al. | Deep learning and sentence embeddings for detection of clickbait news from online content | |
| Bu et al. | Software subclassification based on BERTopic-BERT-BiLSTM model | |
| Choi et al. | Fake review identification and utility evaluation model using machine learning | |
| Çaylak et al. | Analysing online reviews consumers’ experiences of mobile travel applications with sentiment analysis and topic modelling: The example of Booking and Expedia | |
| Aslam et al. | Using aspect-level sentiments for calling app recommendation with hybrid deep-learning models | |
| Briciu et al. | Machine-learning-based approaches for multi-level sentiment analysis of romanian reviews | |
| Ghabayen et al. | Polarity analysis of customer reviews based on part-of-speech subcategory | |
| Lee et al. | Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection: SC Lee et al | |
| Lora et al. | A transformer-based generative adversarial learning to detect sarcasm from Bengali text with correct classification of confusing text | |
| Ziulu et al. | Extracting meaning from textual data for evaluation: Lessons from recent practice at the independent evaluation group of the World Bank | |
| Lezama-Sánchez et al. | Integrating text classification into topic discovery using semantic embedding models | |
| Ballatore et al. | Tracking museums’ online responses to the Covid-19 pandemic: a study in museum analytics | |
| Muñoz et al. | Exploiting content characteristics for explainable detection of fake news | |
| Tan et al. | Improving performance of massive text real-time classification for document confidentiality management |