Classification of User Comment Using Word2vec and SVM Classifier
نویسندگان
چکیده
منابع مشابه
Automatic Brain Tumor Detection and Classification Using Svm Classifier
Tumor is unwanted growth of unhealthy cell which increase intracranial pressure within skull. Medical image processing is the most challenging and innovative field specially MRI imaging modalities. The strategy presented in this paper involves preprocessing, segmentation, feature extraction, detection of tumor and its classification from MRI scanned brain images. Magnetic Resonance Imaging (MRI...
متن کاملMusic Genre Classification Using MFCC, K-NN and SVM Classifier
-The audio corpus available today on Internet and Digital Libraries is increasing rapidly in huge volume. We need to properly index them if we want to have access to these audio data. The search engines available in market also find it challenging to classify and retrieve the audio files relevant to the user’s interest. In this paper, we describe an automated classification system model for mus...
متن کاملSatellite Image Classification Using Genetic Algorithm Based on SVM Classifier
Objectivies: SVM is Mainly established for linear multi-class classification through building a finest splitting hyperplane, here the scope is maximized. SVM is useful for core deception to plot the novel key in space into a high dimensional attribute slot to improve the classifier generality ability when the training data is not linear splitable. Methods/Analysis: GA is a speculator and the em...
متن کاملView Classification of Medical X-ray Images Using Pnn Classifier, Decision Tree Algorithm and Svm Classifier
In this era of electronic advancements in the field of medical image processing, the quantum of medical X-ray images so produced exorbitantly can be effectively addressed by means of automated indexing, comparing, analysing and annotating that will really be pivotal to the radiologists in interpreting and diagnosing the diseases. In order to envisage such an objective, it has been humbly endeav...
متن کاملinvestigation of single-user and multi-user detection methods in mc-cdma systems and comparison of their performances
در این پایان نامه به بررسی روش های آشکارسازی در سیستم های mc-cdma می پردازیم. با توجه به ماهیت آشکارسازی در این سیستم ها، تکنیک های آشکارسازی را می توان به دو دسته ی اصلی تقسیم نمود: آشکارسازی سیگنال ارسالی یک کاربر مطلوب بدون در نظر گرفتن اطلاعاتی در مورد سایر کاربران تداخل کننده که از آن ها به عنوان آشکارساز های تک کاربره یاد می شود و همچنین آشکارسازی سیگنال ارسالی همه ی کاربران فعال موجود در...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Trends in Computer Science and Engineering
سال: 2020
ISSN: 2278-3091
DOI: 10.30534/ijatcse/2020/90912020