Customer Ex.👨👨👦👦 - Sentiments Analysis of tweets with Natural Language Processing
Tweets were extracted, analyzed and classified based on user sentiments into negative , neutral or positive. This model can assist the Customer Success or product teams to easily determine if a product is doing well or in need of improvement. Are customers happy with price, quality of service e.t.c ?
🌸ꗥ~ꗥ🌸 𝐰𝐨𝐫𝐤 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐨𝐧 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞’𝐬 𝐍𝐋𝐏 𝐟𝐨𝐫𝐮𝐦 🌸ꗥ~ꗥ🌸
Open the webapp on streamlit cloud to view the model
The webapp
Positive sentiments - wordcloud
Negative sentiments - wordcloud