I am a Data Analyst at Tokopedia with experience of working with big data and focusing on customer excellence. I have recently worked with my business unit team and generated revenue up to 25 times higher using one of my Predictive Model. My thesis work included building Machine Learning model to do aspect-based sentiment analysis on text reviews of beauty products. I have deep interest on Text Analytics and Natural Language Processing.
Anggitha Yohana (anggithaycs)
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| User Name: | anggithaycs |
| Account Type: | Personal Account |
| Date Registered: | 25/08/2022 11:07:48 WIB |
| Last Seen: | 25/01/2024 16:03:32 WIB |
| Provinsi: | DKI Jakarta |
| Kabupaten: | Kota Jakarta Selatan |
| Website: | linkedin.com/in/anggithaycs |
| Online Hours: | 14.06 |
| Projects Won: | 0 |
| Projects Completed: | 0 |
| Completion Rate | - |
| Projects Arbitrated: | 0 |
| Arbitration Rate | - |
| Current Projects: | 0 |
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2021: I developed a classification system to do aspect-based sentiment analysis on beauty product reviews. The text reviews were pre-processed and extracted to the weighting form. Then a classification model was built to classify the label of each aspect of all the reviews. The model was evaluated by using F1-Score because the data is imbalanced.
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