Arabic Document Topic Analysis
نویسندگان
چکیده
Abstract We adopt algorithms for document topic analysis, consisting of segmentation and topic identification, to Arabic. By doing so, we outline the requirements for Arabic language resources that facilitate building, training, and fine-tuning systems that perform these tasks. Our segmentation and topic identification algorithm is based on Probabilistic Latent Semantic Analysis. First results for segmenting Arabic texts are reported.
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