Natural Language Grammar Induction of Indonesian Language Corpora Using Genetic Algorithm

Hermawan, Arya Tandy; Gunawan, .; Santoso, Joan

doi:10.1109/ialp.2011.58

Cited by 6 publications

(2 citation statements)

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“…Concept-level sentiment analysis does not only process text but also utilize web-based ontologies to extract implicit sentiments from concepts. Getting the concept of text-based content is usually done by extracting information in the text using parsing methods such as [61,62].…”

Section: Concept Extraction For Image Sentiment Analysismentioning

confidence: 99%

Multiview Sentiment Analysis with Image-Text-Concept Features of Indonesian Social Media Posts

Setiawan¹

2021

IJIES

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Social media development makes it possible for everyone to express their opinions and information through text, speech, video, or images. Multiview sentiment analysis in current studies generally combines two modalities, text and image. It seeks to classify social media posts into two or more polarities, such as positive, neutral, or negative. To improve the performance of multiview Sentiment Analysis, we added another modality, which is concepts derived from text and image. Our proposed model integrates three views into a fusion with an ensemble approach by a metaclassifier. We performed text classification with Deep Convolutional Neural Networks. The input feature is Word2Vec for text representation in order to preserve semantic meaning. Additionally, we analyzed concepts from texts with SenticNet 5 as a knowledge base model and extracted concepts from images using the DeepSentiBank model. We obtained 2089 Adjective Noun Pairs and classified it with Multi-Layer Perceptron. Then we combined predicted probabilities from each classifier for Image, Text, and Concept by Ensemble Learning. A meta-classifier was implemented to predict the final sentiment from a fusion of Image-Text-Concept features. The fusion for multiview sentiment analysis works well and could achieve the best accuracy of 70% by applying the ensemble approach with Logistic Regression as the meta-classifier.

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Section: Concept Extraction For Image Sentiment Analysismentioning

confidence: 99%

Multiview Sentiment Analysis with Image-Text-Concept Features of Indonesian Social Media Posts

Setiawan¹

2021

IJIES

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“…Ekstraksi kalimat adalah teknik yang digunakan untuk summarization teks secara otomatis. Sentence extractor yang digunakan menggunakan algoritma genetik [3] …”

Section: Perhitungan Similarity Setelah Kandidat Ditentukanunclassified

Sinonim Dan Word Sense Disambiguation Untuk Melengkapi Detektor Plagiat Dokumen Tugas Akhir

Purwanto

2015

Jurnal Sistem Informasi

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Plagiarism can be categorized into several levels: carbon copy, the addition of words, word substitutions, changing active into passive sentences, and paraphrase. In this research, the detection is only performed by local similarity assessment method. This research is categorized into 3 major processes: preprocessing, candidate determination, and calculation of similarity. In preprocessing, extraction and conversion of a PDF file into XML is performed. Stopword removal and stemming are also performed in this process. For Candidates determination, the process used VSM (Vector Space Model) algorithm using Lucene.NET. It will then calculate the similarity values of the candidates. Similarity values that meet the threshold will be processed in the third stage. The next process is detecting plagiarism at the level of carbon copy. The plagiarism of the substitution level will be determined by finding synonymous with Lesk algorithm and utilizing WordNet as a language dictionary. Lesk notice the words around it, before doing the search process is synonymous with Lesk, performed first sentence extractor. From this experiment, it is concluded that the determination of synonyms using WordNet and Lesk algorithm does not seem to increase its similarity value role. This is due to the difficulty of finding plagiarism by just substituting words. However, plagiarism at the level of carbon copy can be handled with the help of sentence matching.

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Named entity recognition for extracting concept in ontology building on Indonesian language using end-to-end bidirectional long short term memory

Santoso

Setiawan

Purwanto

et al. 2021

Expert Systems with Applications

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Natural Language Grammar Induction of Indonesian Language Corpora Using Genetic Algorithm

Cited by 6 publications

References 1 publication

Multiview Sentiment Analysis with Image-Text-Concept Features of Indonesian Social Media Posts

Multiview Sentiment Analysis with Image-Text-Concept Features of Indonesian Social Media Posts

Sinonim Dan Word Sense Disambiguation Untuk Melengkapi Detektor Plagiat Dokumen Tugas Akhir

Named entity recognition for extracting concept in ontology building on Indonesian language using end-to-end bidirectional long short term memory

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