Extracting Severe Negative Sentence Pattern from Bangla Data via Long Short-term Memory Neural Network
Abdul Hasib Uddin, Sumit Kumar Dam, Abu Shamim Mohammad Arif · 2019 4th International Conference on Electrical Information and Communication Technology (EICT) · 2019
Social media has become important for sharing contents and people around the globe are expressing their feelings over social media. Analyzing these social interactions can be very much helpful to figure out the reasons behind people's feelings. In this work, we applied Long Short-term Memory (LSTM) Neural Networks for analyzing negative sentences in Bangla. We extracted negative Bangla tweets from twitter and also collected more negative Bangla sentences from people using google form. In our work, we have shown how hyper-parameters tuning can be useful for analyzing a small dataset and then applied to-fold cross-validation. Finally, we showed a relative comparison between our research and other previous works. This result will help psychologists to find out the reasons behind these social media interactions and prevent undesirable happenings resulted from negativity.