Hoax merupakan informasi tidak benar dan berbahaya karena dapat merubah persepsi seseorang dengan menyampaikan informasi palsu sebagai kebenaran dan dapat mengurangi kredibilitas. Pembelajaran mesin dapat digunakan ...

Penelitian ini mengklasifikasi analisis sentimen dalam 3 jenis yaitu positif, negatif, dan netral pada data Twitter Bahasa Indonesia yang terkait dengan Institut Pertanian Bogor, IPB, dan Bogor Agricultural University ...

Question analysis is the first step in QAS. This step decides the final result of QAS process because the result of question analysis is used to retrieve relevant document and answer entity correctly. The used question ...

Document clustering enables a user to have a good overall view of the information contained in the document. Most classical clustering algorithms assign each data to exactly one cluster, thus forming a crisp partition of ...

Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to ...

Query expansion is a technique that can be used to bridge vocabulary gaps between queries and documents in the collection. With query expansion, user will be helped to formulate queries well so that user will optimize the ...

The most frequent problem on information retrieval is the users inability in representing information they need, in a query form. Thus, one of the solutions to overcome such situation is by applying query expansion technique. ...

Document classification is the process of grouping documents into specific categories that have been defined previously. In the real world, the distribution of the data is generally non-linear, which means the distribution ...

Search engine is a tool to find an information that match with user’s request based on query or keywords. However, the query of search engine often shows irrelevance sites that didn’t match with user’s desire. Classification ...

One of supervised learning methods for document classification is Naive Bayes classifier. A common problem that often occurs on simple method like naive bayes is data sparsity. This problem especially occurs when the size ...