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- research-articleFebruary 2021
Research on Information Extraction of Municipal Solid Waste Crisis using BERT-LSTM-CRF
NLPIR '20: Proceedings of the 4th International Conference on Natural Language Processing and Information RetrievalPages 205–209https://doi.org/10.1145/3443279.3443314There is much research on the phenomenon of municipal solid waste (MSW) and its improvement measures, and the method of information extraction be adopted to obtain the potential knowledge of MSW from the existing relevant research literature. Due to the ...
- research-articleFebruary 2021
Semantic-aware Comment Analysis Approach for API Permission Mapping on Android
NLPIR '20: Proceedings of the 4th International Conference on Natural Language Processing and Information RetrievalPages 61–69https://doi.org/10.1145/3443279.3443312As Android platform is protected by permissions, which is one of the most powerful access control models of Android, it is possible to restrict the use of certain sensitive APIs. In contrast, many applications declare permissions more than they need, ...
- research-articleFebruary 2021
A Comparative Study of Dictionary-based and Machine Learning-based Named Entity Recognition in Pashto
NLPIR '20: Proceedings of the 4th International Conference on Natural Language Processing and Information RetrievalPages 96–101https://doi.org/10.1145/3443279.3443307Information Extraction (IE) is the process of extracting structured information from unstructured text using natural language processing (NLP). One important sub-task of IE is the extraction of names of persons, places, and organizations, called Named ...
- research-articleFebruary 2021
A Classification on Different Aspects of User Modelling in Personalized Web Search
NLPIR '20: Proceedings of the 4th International Conference on Natural Language Processing and Information RetrievalPages 194–199https://doi.org/10.1145/3443279.3443291In the context of personalization has recently been doing a lot of researches and applications. A common component of all research in the field of personalization is user modeling that also called user profiling. The main work of the user modeling in ...
- research-articleFebruary 2021
Sentiment Analysis for Review Rating Prediction in a Travel Journal
NLPIR '20: Proceedings of the 4th International Conference on Natural Language Processing and Information RetrievalPages 70–74https://doi.org/10.1145/3443279.3443282This paper presents sentiment analysis to predict numerical rating of text reviews in a web-based travel journal application. The application allows users to record and provide text reviews on tourist spots visited. Text reviews undergo parts-of-speech (...
- research-articleFebruary 2021
Ranking Hotel Reviews Based on User's Aspects Importance and Opinions
NLPIR '20: Proceedings of the 4th International Conference on Natural Language Processing and Information RetrievalPages 157–162https://doi.org/10.1145/3443279.3443280Online product reviews have become fundamental to users' purchasing decisions. Many websites provide rating-based ranking of entities, but analyzing the set of textual reviews is still time-consuming. Indeed, each user (reader) must build his/her own ...