2019 International Conference on Bangla Speech and Language Processing (ICBSLP)最新文献_第3页

Sentiment Analysis on Movie Review Data Using Machine Learning Approach 基于机器学习方法的电影评论数据情感分析

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201470

Atiqur Rahman, M. Hossen

引用次数: 39

Bengali Question Answering System for Factoid Questions: A statistical approach 孟加拉语伪题问答系统:统计方法

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201512

Sourav Sarker, Syeda Tamanna Alam Monisha, Md Mahadi Hasan Nahid

引用次数: 4

Bangla Numeral Recognition from Speech Signal Using Convolutional Neural Network 基于卷积神经网络的孟加拉语语音数字识别

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201540

M. Shuvo, Shaikh Akib Shahriyar, M. Akhand

引用次数: 6

Cricket Sentiment Analysis from Bangla Text Using Recurrent Neural Network with Long Short Term Memory Model 基于长短期记忆模型的递归神经网络孟加拉语文本板球情感分析

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201500

Md Ferdous Wahid, Md. Jahid Hasan, Md. Shahin Alom

{"title":"Cricket Sentiment Analysis from Bangla Text Using Recurrent Neural Network with Long Short Term Memory Model","authors":"Md Ferdous Wahid, Md. Jahid Hasan, Md. Shahin Alom","doi":"10.1109/ICBSLP47725.2019.201500","DOIUrl":"https://doi.org/10.1109/ICBSLP47725.2019.201500","url":null,"abstract":"Nowadays, people used to express their feelings, thoughts, suggestions and opinions on different social platform and video sharing media. Many discussions are made on Twitter, Facebook and many respective forums on sports especially cricket and football. The opinion may express criticism in different manner, notation that may comprise different polarity like positive, negative or neutral and it is a challenging task even for human to understand the sentiment of each opinion as well as time consuming. This problem can be solved by analyzing sentiment in respective comments through natural language processing (NLP). Along with the success of many deep learning domains, Recurrent Neural Network (RNN) with Long-Short-Term-Memory (LSTM) is popularly used in NLP task like sentiment analysis. We have prepared a dataset about cricket comment in Bangla text of real people sentiments in three categories i.e. positive, negative and neutral and processed it by removing unnecessary words from the dataset. Then we have used word embedding method for vectorization of each word and for long term dependencies we used LSTM. The accuracy of this approach has given 95% that beyond the accuracy of previous all method.","PeriodicalId":413077,"journal":{"name":"2019 International Conference on Bangla Speech and Language Processing (ICBSLP)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122746729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Synthetic Class Specific Bangla Handwritten Character Generation Using Conditional Generative Adversarial Networks 合成类特定孟加拉语手写字符生成使用条件生成对抗网络

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201475

Zinnia Khan Nishat, Md Shopon

{"title":"Synthetic Class Specific Bangla Handwritten Character Generation Using Conditional Generative Adversarial Networks","authors":"Zinnia Khan Nishat, Md Shopon","doi":"10.1109/ICBSLP47725.2019.201475","DOIUrl":"https://doi.org/10.1109/ICBSLP47725.2019.201475","url":null,"abstract":"Bangla handwritten character recognition is known to be one of the most classical problem in the field of machine learning. In order to solve a machine learning problem one must thing is dataset. The more varied data a model sees the better it learns. Generative adversarial networks (GANs) are a group of neural networks that are used in unsupervised machine learning. It helps to resolve many difficult operations such as image generation from description, transforming low resolution image into high resolution, retrieving image contents given a small pattern etc. GAN's have many other promising applications in machine learning. There are many variations available for GAN. One of the variation of GAN is Conditional Generative Adversarial Networks(cGAN). This kind of GAN is used for generating a specific type of image. In this work we have used cGAN for generating Class Based Character Generation. This work can help researchers to generate handwritten characters to enhance the perfomance of deep learning models. We have trained this model to generate 50 Basic Bangla Characters, 10 Bangla Numerals and 24 Compound characters.","PeriodicalId":413077,"journal":{"name":"2019 International Conference on Bangla Speech and Language Processing (ICBSLP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Annotated Bangla Sentiment Analysis Corpus 一个带注释的孟加拉语情感分析语料库

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201474

F. Rahman, H. Khan, Zakir Hossain, Mahfuza Begum, Sadia Mahanaz, Ashraful Islam, Aminul Islam

引用次数: 10

Does Word2Vec encode human perception of similarityƒ A study in Bangla Word2Vec编码了人类对相似性的感知吗?——在孟加拉的一项研究

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201567

Manjira Sinha, Rakesh Dutta, Tirthankar Dasgupta

{"title":"Does Word2Vec encode human perception of similarityƒ A study in Bangla","authors":"Manjira Sinha, Rakesh Dutta, Tirthankar Dasgupta","doi":"10.1109/ICBSLP47725.2019.201567","DOIUrl":"https://doi.org/10.1109/ICBSLP47725.2019.201567","url":null,"abstract":"The quest to understand how language and concepts are organized in human mind is a neverending pursuit undertaken by researchers in computational psycholinguistics; simultaneously, on the other hand, researchers have tried to quantitatively model the semantic space from written corpora and discourses through different computational approaches - while both of these interacts with each other in-terms of understanding human processing through computational linguistics and enhancing NLP methods from the insights, it has seldom been systematically studied if the two corroborates each other. In this paper, we have explored how and if the standard word embedding based semantic representation models represent the human mental lexicon. Towards that, We have conducted a semantic priming experiment to capture the psycholinguistics aspects and compared the results with a distributional word-embedding model: Bangla word2Vec. Analysis of reaction time indicates that corpus-based semantic similarity measures do not reflect the true nature of mental representation and processing of words. To the best of our knowledge this is first of a kind study in any language especially Bangla.","PeriodicalId":413077,"journal":{"name":"2019 International Conference on Bangla Speech and Language Processing (ICBSLP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Basic to Compound: A Novel Transfer Learning Approach for Bengali Handwritten Character Recognition 从基础到复合:一种新的孟加拉手写字符识别迁移学习方法

2019 International Conference on Bangla Speech and Language Processing (ICBSLP) Pub Date : 2019-09-01 DOI: 10.1109/ICBSLP47725.2019.201522

Sakib Reza, Ohida Binte Amin, M. Hashem

引用次数: 6