1. Introduction
-Research background and significance: Introduce the importance and application fields of online comment classification.
-Objectives and research problems: define the research objectives and problems to be solved in the research process.
2. Related works
-Review the cutting-edge research and methods related to the classification of online comments.
-Analyze the advantages and disadvantages of these methods in terms of effectiveness and limitations.
-Introduce research results in other related fields, such as sentiment analysis and text classification.
3. Research methods and models
-Describe in detail the methods used in the research and the classification algorithm of online reviews.
-Explain the selection and processing of data sets in detail, and explain the methods of feature extraction and selection.
-Describe the architecture and training process of the model.
4. Experimental results and discussion
-Present the experimental results, including accuracy, recall, F 1 and other evaluation indicators.
-Analyze the experimental results, compare and discuss with related work.
-Explore the space and feasibility of algorithm optimization.
5. Conclusion and prospect
Summarize the main findings and contributions of the research.
-Summarize the main points and conclusions of the paper.
-Put forward the direction and suggestions for further research.
In addition, the writing of words should be strictly in accordance with academic writing norms, including the correct citation of references, to ensure the accuracy and credibility of the paper. I hope this information is helpful to you!
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