Comments Analyzer
What is Comments Analyzer?
Analyzes YouTube video comments. This tool answers any question regarding recent comments from a given YouTube video.
- Added on December 11 2023
- https://chat.openai.com/g/g-aBWxpAnbG-comments-analyzer
How to use Comments Analyzer?
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Step 1 ： Click the open gpts about Comments Analyzer button above, or the link below.
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Step 2 ： Follow some prompt about Comments Analyzer words that pop up, and then operate.
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Step 3 ： You can feed some about Comments Analyzer data to better serve your project.
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Step 4 ： Finally retrieve similar questions and answers based on the provided content.
FAQ from Comments Analyzer?
Comments Analyzer uses natural language processing (NLP) algorithms to analyze the sentiment of comments. These algorithms scan the comment for certain words and phrases that are indicative of positive or negative sentiment. They also take into account the overall context of the comment to provide a more accurate sentiment analysis.
Yes, Comments Analyzer has a spam filter that can detect and filter out comments that are likely spam. The filter uses a combination of machine learning algorithms and rules-based logic to identify spam comments based on factors such as the frequency of certain keywords, the use of suspicious links, and other patterns.
Comments Analyzer allows users to export comment data in various formats, including CSV, Excel, and PDF. Users can choose which columns to include in the export, and can also apply filters or sorting options to customize the data before exporting. This feature is useful for sharing comment data with colleagues or for further analysis in other tools.