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ENTITY Martin Clinton Tosima Manullang

Martin Clinton Tosima Manullang

PulseAugur coverage of Martin Clinton Tosima Manullang — every cluster mentioning Martin Clinton Tosima Manullang across labs, papers, and developer communities, ranked by signal.

Total · 30d
5
5 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
5
5 over 90d
TIER MIX · 90D
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_25580 ·

    Classical ML outperforms deep learning on IMDb sentiment analysis

    A new research paper compares traditional machine learning techniques with deep learning models for sentiment classification using IMDb movie reviews. The study found that classical methods, specifically Support Vector …

  2. TOOL · CL_25581 ·

    Hybrid model achieves strong Indonesian sentiment analysis results

    Researchers have developed a hybrid approach for Indonesian sentiment analysis, combining TF-IDF text features with logistic regression and a neural network baseline. The study focused on classifying social media text i…

  3. RESEARCH · CL_20612 ·

    XGBoost algorithm predicts e-commerce customer satisfaction from YouTube comments

    This research paper introduces a predictive model for customer satisfaction using the XGBoost algorithm and TF-IDF vectorization on YouTube comments from Indonesian e-commerce review videos. The study found that the PyC…

  4. RESEARCH · CL_09825 ·

    LSTM model achieves 89% accuracy classifying YouTube comments on meal program

    A study utilized the Long Short-Term Memory (LSTM) method to analyze public opinion on Indonesia's Free Nutritional Meal Program using 7,733 YouTube comments. The LSTM model achieved 89% accuracy in classifying sentimen…

  5. RESEARCH · CL_09831 ·

    Study compares AutoML and BiLSTM for Indonesian Instagram cyberbullying detection

    This research paper compares automated machine learning (AutoML) and Bidirectional Long Short-Term Memory (BiLSTM) models for detecting cyberbullying in Indonesian Instagram comments. The study utilized a dataset of 650…