Feedier uses Natural Language Processing (NLP) analysis to interpret and measure the overall sentiment of feedbacksverbatim feedback.
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By using Using NLP and sentiment analysis with (weighting of five different sentiments, ) you can detect and analyze analyse the sentiment of a comment customer feedback beyond the words used alone. This way you can analyze a large number of feedbacks to make an accurate indicator.
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model takes into account the question asked and the text response given, and analyses a large volume of text feedback in order to obtain a precise indicator - the Sentiment Score:
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Instead of browsing all the feedbacks, you can use the sentiment score to quickly find negative or positive comments.
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This is a weighted average made by the Feedier system between the positive and negative totals.
The model analyses the text comment, taking into account the question asked, using the 5 sentiments mentioned in this article. The sentiment score is a weighted average calculated from the scores of the most relevant sentiments in relation to the analysis carried out.