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2. Negation handling for sentiment analysis task: approaches and performance analysis.

Author

Ilmawan, Lutfi Budi, Muladi, and Prasetya, Didik Dwi

Subjects
SENTIMENT analysis, NATURAL language processing, TASK analysis, TASK performance, BLENDED learning, END-to-end delay, REINFORCEMENT learning
Abstract

Negation plays an essential role in sentiment analysis within natural language processing (NLP). Its integration involves two key aspects: identifying the scope of negation and incorporating this information into the sentiment model. Before delving into scope detection, the specific negation cue must be identified, with explicit and implicit negation cues being the two main types. Various methodologies, such as rule-based, machine learning, and hybrid approaches, address the negation scope detection challenge. Strategies for leveraging negation information in sentiment models encompass heuristic polarity modification, feature space augmentation, end-to-end approach, and hierarchical multi-task learning. Notably, there is a need for more studies addressing implicit negation cue detection, even within the state-of-the-art bidirectional encoder representation for transformers (BERT) approach. Some studies have employed reinforcement learning and hybrid techniques to address the implicit negation problem. Further exploration, particularly through a hybrid and multi-task learning approach, is warranted to make potential contributions to the nuanced challenges of handling negation in sentiment analysis, especially in complex sentence structures. [ABSTRACT FROM AUTHOR]

Published
2024
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15. MODEL HIBRID UNTUK PENGONTROLAN LAMPU GEDUNG MENGGUNAKAN RASPBERRY Pi

Author

Ilmawan, Lutfi Budi and Hasanuddin, Tasrif

Subjects
Light control, Pengontrolan lampu, Model Hibrid Raspberry Pi, Hibrid Raspberry Pi Model, Manual switch, Saklar manual
Abstract

The building light control system that used is a control system that is integrated between control via the web technology and manual switches, the function of the manual switch here is similar to the pushbutton, it cannot be used for knowing switch status, whether its on or off. But we could know it by looking at the light if its turn on or turn off. When it is controlled via internet, status of the lights could be known by a light sensor that is connected around the lights, and its tells the light status also on the developed android application. The system that is used to develop this model, uses Raspberry Pi that connects directly to a manual switch. The results of this study it has the ability to synchronized remote control in the building area. If we are far from the location, this system will send in real time status of the lights whether its on or off, and the system will also notify the state on the developed android application., Sistem pengontrolan lampu gedung yang dibuat adalah sebuah sistem pengontrolan yang terintegrasi antara pengontrolan melalui teknologi web dan saklar manual, Fungsi Saklar manual di sini mirip dengan push button, sehingga tidak dapat diketahui kondisi on atau off melalui saklar tapi hanya diketahui ketika lampu padam atau menyala. Saat di kontrol melaui internet, kondisi lampu menyala atau padam dapat diketahui melalui sensor cahaya yang yang terpasang di sekitar lampu, dan ditampilkan pada aplikasi berbasis android. Sistem yang digunakan untuk mengembangkan model ini, menggunakan Raspberry Pi yang terhubung langsung ke saklar manual. Hasil penelitian ini mempunyai kemampuan sinkronisasi pengontrolan jarak jauh dengan pengontrolan ketika berada disekitar area gedung, jika kita berada jauh dari lokasi maka sistem ini akan mengirim secara real time kondisi lampu gedung apakah menyala atau padam, dan sistem juga akan meberitahukan keadaan ruangan pada aplikasi berbasis android.

Published
2017

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