2020 · 55 citations · 17 references
EngineeringMachine LearningRestaurant BusinessMultimodal Sentiment AnalysisRecurrent Neural NetworkSentiment AnalysisText MiningWord EmbeddingsNatural Language ProcessingCombined Cnn-lstm ArchitectureCustomer ReviewData ScienceManagementLanguage EngineeringContent AnalysisMachine Learning ModelNlp TaskDeep LearningMarketingDeep Learning Technique
The combination of machine learning approach and natural language processing is applied to analyze the sentiment of text for particular sentences. In this particular area lots of work done in recent times. Restaurant business was always a popular business in Bangladesh. These business is now Leaning towards online delivery services and the overall quality of restaurants are now judged by reviews of customers. One try to understand the quality of a restaurant by the reviews from other customers. These opinions of customers organizing in structured way and to understand perception of customers reviews and reactions is the main motto of our work. Collecting data was the first thing we have done for deploying this piece of work. Then making a dataset which we harvested from websites and tried to deploy with deep learning technique. In this piece of research, a combined CNN-LSTM architecture used in our dataset and got an accuracy of 94.22%. Also used some other performance metrics to evaluate our model.
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Sentiment analysis using product review data
Xing Fang, Justin Zhan · Journal Of Big Data · 2015 · 770 citations · Full text
Engineering, Business Intelligence, Multimodal Sentiment Analysis +20
A C-LSTM Neural Network for Text Classification
Chunting Zhou, Chonglin Sun, Zhiyuan Liu et al. · arXiv (Cornell University) · 2015 · 656 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +17