Predict Consumer Sentiment

GAURAV PHADNIS

GAURAV PHADNIS

Pimpri-Chinchwad, Maharashtra

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  • 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

Artificial Intelligence

Intel Technologies
oneAPI

Code Samples [1]

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

Repository

https://github.com/UZOIQ4SW/oneAPIIntelHackathon_Gaurav

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