Predict Consumer Sentiment
GAURAV PHADNIS
Pimpri-Chinchwad, Maharashtra
- 0 Collaborators
Marketers and businesses can use consumer sentiment to inform their marketing strategies and improve their sales. By understanding consumer sentiment, they can tailor their messaging and advertising to appeal to their target audience. Participants will be tasked with building a predictive model that ...learn more
Project status: Published/In Market
Intel Technologies
oneAPI
Overview / Usage
oneAPI library was used for NLP sentiment analysis for this problem statement.
LinearSVR algoritm was used to predict sentiment of Sentiment Tile and Headline
The Accuracy of model was calculculated using Mean absolute error which was 93%.
Methodology / Approach
Modin pandas was used to handle Pandas dataframe to handle oneAPI components.
Linear SVR of sklearn was also used to compare performance.
Patch_sklearn() method was called to invoke intel scikit learn library instead of sklearn library.
LinearSVR was used of oneAPI library sklearnex for sentiment analysis.
Technologies Used
Pandas modin
one api DAAL --- sklearn