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Title: GitHub - DSBA-Lab/Text-Analytics: Unstructured Data Analysis (Graduate) @Korea University

Open Graph Title: GitHub - DSBA-Lab/Text-Analytics: Unstructured Data Analysis (Graduate) @Korea University

X Title: GitHub - DSBA-Lab/Text-Analytics: Unstructured Data Analysis (Graduate) @Korea University

Description: Unstructured Data Analysis (Graduate) @Korea University - DSBA-Lab/Text-Analytics

Open Graph Description: Unstructured Data Analysis (Graduate) @Korea University - DSBA-Lab/Text-Analytics

X Description: Unstructured Data Analysis (Graduate) @Korea University - DSBA-Lab/Text-Analytics

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326 Commitshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/commits/master/
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/commits/master/
01 Introductionhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/01%20Introduction
01 Introductionhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/01%20Introduction
02 Text Preprocessinghttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/02%20Text%20Preprocessing
02 Text Preprocessinghttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/02%20Text%20Preprocessing
03 Neural Network Basicshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/03%20Neural%20Network%20Basics
03 Neural Network Basicshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/03%20Neural%20Network%20Basics
04 Text Representation I - Classic Methodshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/04%20Text%20Representation%20I%20-%20Classic%20Methods
04 Text Representation I - Classic Methodshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/04%20Text%20Representation%20I%20-%20Classic%20Methods
05 Text Representation II - Distributed Representationhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation
05 Text Representation II - Distributed Representationhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation
06 Dimensionality Reductionhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/06%20Dimensionality%20Reduction
06 Dimensionality Reductionhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/06%20Dimensionality%20Reduction
07 Topic Modelinghttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/07%20Topic%20Modeling
07 Topic Modelinghttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/07%20Topic%20Modeling
08 Seq2Seq Learning and Pre-trained Modelshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models
08 Seq2Seq Learning and Pre-trained Modelshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models
09 Document Classificationhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/09%20Document%20Classification
09 Document Classificationhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/09%20Document%20Classification
10 Sentiment Analysishttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/10%20Sentiment%20Analysis
10 Sentiment Analysishttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/10%20Sentiment%20Analysis
11 Text Summarizationhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/11%20Text%20Summarization
11 Text Summarizationhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/11%20Text%20Summarization
Term Project Archivehttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/Term%20Project%20Archive
Term Project Archivehttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/tree/master/Term%20Project%20Archive
2021_Spring_Unstructured Data Analysis.pdfhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/blob/master/2021_Spring_Unstructured%20Data%20Analysis.pdf
2021_Spring_Unstructured Data Analysis.pdfhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/blob/master/2021_Spring_Unstructured%20Data%20Analysis.pdf
README.mdhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/blob/master/README.md
README.mdhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#text-analytics
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#notice
downloadhttps://github.com/pilsung-kang/Text-Analytics/blob/master/2021_Spring_Unstructured%20Data%20Analysis.pdf
linkhttps://docs.google.com/spreadsheets/d/1UCu8uo4M728B8BMf9wyuyJ-4GTmeHCZM8a9LkOvPG9g/edit?usp=sharing
linkhttps://docs.google.com/spreadsheets/d/118AMJWTO90ecanvUadqqEOIHj9bVCNlcMHZkPOjBpnc/edit?usp=sharing
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https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#schedule
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#recommended-courses
http://cs224d.stanford.edu/http://cs224d.stanford.edu/
https://www.youtube.com/playlist?list=PLlJy-eBtNFt4CSVWYqscHDdP58M3zFHIGhttps://www.youtube.com/playlist?list=PLlJy-eBtNFt4CSVWYqscHDdP58M3zFHIG
https://youtube.com/playlist?list=PLetSlH8YjIfUf3gBv1JpCLa9WVaL8yE0-https://youtube.com/playlist?list=PLetSlH8YjIfUf3gBv1JpCLa9WVaL8yE0-
http://web.stanford.edu/class/cs224n/http://web.stanford.edu/class/cs224n/
https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
https://youtube.com/playlist?list=PLetSlH8YjIfVdobI2IkAQnNTb1Bt5Ji9Uhttps://youtube.com/playlist?list=PLetSlH8YjIfVdobI2IkAQnNTb1Bt5Ji9U
https://github.com/oxford-cs-deepnlp-2017/lectureshttps://github.com/oxford-cs-deepnlp-2017/lectures
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https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#contents
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-1-introduction-to-text-analytics
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/01%20Introduction/01_Introduction%20to%20Text%20Analytics_part1.pdf
Videohttps://www.youtube.com/watch?v=UInnl60pzkA&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=2
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/01%20Introduction/01_Introduction%20to%20Text%20Analytics_part2.pdf
Videohttps://www.youtube.com/watch?v=Y0zrFVZqnl4&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=3
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/01%20Introduction/(2021)%2001_Introduction%20to%20Text%20Analytics_QA.pdf
Medium Posthttps://medium.com/dair-ai/nlp-year-in-review-2019-fb8d523bcb19
Linkedin Posthttps://www.linkedin.com/pulse/natural-language-processing-2020-year-review-ivan-bilan
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-2-text-preprocessing
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/02%20Text%20Preprocessing/02_Text%20Preprocessing_part1.pdf
Videohttps://www.youtube.com/watch?v=NLaxlUKFVw4&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=5&t=0s
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/02%20Text%20Preprocessing/02_Text%20Preprocessing_part2.pdf
Videohttps://www.youtube.com/watch?v=5gt1KvkkOlc&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=5
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/02%20Text%20Preprocessing/02_Text%20Preprocessing_part3.pdf
Videohttps://www.youtube.com/watch?v=DdFKFqZyv5s&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=6
PDFhttp://ieeexplore.ieee.org/abstract/document/6786458/
PDFhttp://www.jmlr.org/papers/volume12/collobert11a/collobert11a.pdf
PDFhttps://arxiv.org/pdf/1708.02709.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-3-neural-networks-basics-optional-no-video-lectures
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-4-text-representation-i-classic-methods
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/04%20Text%20Representation%20I%20-%20Classic%20Methods/04_Text%20Representation%20I_Classic%20Methods.pdf
Videohttps://www.youtube.com/watch?v=DMNUVGbLp-0&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=7
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/04%20Text%20Representation%20I%20-%20Classic%20Methods/(2021)%2004_Text%20Representation%20I_Classic%20Methods_QA_upload.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-5-text-representation-ii-distributed-representation
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation/05_Text%20Representation%20II%20-%20Distributed%20Representation_NNLM.pdf
Videohttps://www.youtube.com/watch?v=bvSHJG-Fz3Y&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=8
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation/05_Text%20Representation%20II%20-%20Distributed%20Representation_Word2Vec.pdf
Videohttps://www.youtube.com/watch?v=s2KePv-OxZM&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=10&t=0s
Optional Video (발표자: 김지나)https://youtu.be/sidPSG-EVDo
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation/05_Text%20Representation%20II%20-%20Distributed%20Representation_GloVe.pdf
Videohttps://www.youtube.com/watch?v=JZI74rrMb_M&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=10
Optional Video (발표자 조규원)https://youtu.be/8wG0sJm1EaU
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation/05_Text%20Representation%20II%20-%20Distributed%20Representation_FastText.pdf
Videohttps://www.youtube.com/watch?v=oRz6llDhFW8&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=11
Optional Video (발표자: 김수빈https://youtu.be/7UA21vg4kKE
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/05%20Text%20Representation%20II%20-%20Distributed%20Representation/(2021)%2005_Text%20Representation%20II_Distributed%20Representation_QA_upload.pdf
Video (발표자: 김명섭)https://youtu.be/yveGzB3dB3U
PDFhttp://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf
PDFhttps://arxiv.org/pdf/1301.3781.pdf
PDFhttp://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
PDFhttp://www.aclweb.org/anthology/D14-1162
PDFhttps://arxiv.org/pdf/1607.04606.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-6-dimensionality-reduction
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/06%20Dimensionality%20Reduction/06_Dimensionality%20Reduction_Feature%20Selection.pdf
Videohttps://www.youtube.com/watch?v=Gldr3LQvnSA&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=12
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/06%20Dimensionality%20Reduction/06_Dimensionality%20Reduction_Feature%20Extraction.pdf
Videohttps://www.youtube.com/watch?v=XYCVzp0NGFc&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=13
PDFhttps://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/%28SICI%291097-4571%28199009%2941%3A6%3C391%3A%3AAID-ASI1%3E3.0.CO%3B2-9
PDFhttps://www.tandfonline.com/doi/pdf/10.1080/01638539809545028?needAccess=true
PDFhttp://www.jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdf
Homepagehttps://lvdmaaten.github.io/tsne/
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-7-topic-modeling-as-a-distributed-reprentation
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/07%20Topic%20Modeling/07_Topic%20Modeling_LSA_pLSA.pdf
Videohttps://www.youtube.com/watch?v=J1ri0EQnUOg&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=14
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/07%20Topic%20Modeling/07_Topic%20Modeling_LDA_Generation.pdf
Videohttps://www.youtube.com/watch?v=WR2On5QAqJQ&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=15
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/07%20Topic%20Modeling/07_Topic%20Modeling_LDA_Inference.pdf
Videohttps://www.youtube.com/watch?v=iwMSCsiL6wQ&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=16
Slidehttps://www.dropbox.com/s/cciia32y7buhzre/%282021%29%2007_Topic%20Modeling_QA.pdf?dl=0
PDFhttp://lsa.colorado.edu/papers/JASIS.lsi.90.pdf
PDFhttp://www.iro.umontreal.ca/~nie/IFT6255/Hofmann-UAI99.pdf
PDFhttp://delivery.acm.org/10.1145/2140000/2133826/p77-blei.pdf?ip=175.114.11.68&id=2133826&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D218144511F3437&__acm__=1524148444_1a7687d674528eeabc9a97afa2db5a29
PDFhttp://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf
Optional Video (발표자: 윤훈상)https://youtu.be/4AGjlcEQ6I8
Lecture Videohttp://videolectures.net/mlss09uk_blei_tm/
Lecture Videohttps://www.youtube.com/watch?v=Dv86zdWjJKQ&t=113s
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-8-language-modeling--pre-trained-models
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/08-1_Seq2Seq%20Learning.pdf
Videohttps://www.youtube.com/watch?v=0lgWzluKq1k&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=17
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/08-2_Transformer.pdf
Videohttps://www.youtube.com/watch?v=Yk1tV_cXMMU&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=18
Optional Video (발표자: 김동화)https://youtu.be/xhY7m8QVKjo
Optional Video (발표자: 소규성)https://youtu.be/x_8cp4Vdnak
Video (발표자: 김정희)https://youtu.be/6ognBL6DEYM
Video (발표자: 노영빈)https://youtu.be/JTbX4OyUF-c
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/08-3_ELMo.pdf
Videohttps://www.youtube.com/watch?v=zV8kIUwH32M&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=19
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/08-4_GPT.pdf
Videohttps://www.youtube.com/watch?v=o_Wl29aW5XM&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=20
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/08-5_BERT.pdf
Videohttps://www.youtube.com/watch?v=IwtexRHoWG0&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=21
Video (발표자: 김명섭)https://youtu.be/vFXGvGMKesM
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/08-6_GPT2.pdf
Videohttps://youtu.be/8hd2Q-3-BsQ
Video (발표자: 이유경)https://youtu.be/v7diENO2mEA
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/GPT-3.pdf
Videohttps://youtu.be/xNdp3_Zrr8Q
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/08%20Seq2Seq%20Learning%20and%20Pre-trained%20Models/Transformer%20to%20T5_final_%EC%9D%B4%EC%9C%A0%EA%B2%BD.pdf
Video (발표자: 이유경)https://youtu.be/d05ype2cVQc
Video (발표자: 김명섭)https://youtu.be/VAzpZh01g58
PDFhttp://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
PDFhttps://arxiv.org/pdf/1409.0473.pdf
PDFhttp://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf
PDFhttps://arxiv.org/pdf/1802.05365.pdf
PDFhttps://www.cs.ubc.ca/~amuham01/LING530/papers/radford2018improving.pdf
PDFhttps://arxiv.org/pdf/1810.04805.pdf
PDFhttps://www.ceid.upatras.gr/webpages/faculty/zaro/teaching/alg-ds/PRESENTATIONS/PAPERS/2019-Radford-et-al_Language-Models-Are-Unsupervised-Multitask-%20Learners.pdf
PDFhttps://arxiv.org/pdf/1906.08237.pdf
PDFhttps://arxiv.org/pdf/1907.11692.pdf
PDFhttps://arxiv.org/pdf/1905.02450.pdf
PDFhttps://arxiv.org/pdf/1910.13461.pdf
PDFhttps://arxiv.org/pdf/1901.11504.pdf
PDFhttps://www.jmlr.org/papers/volume21/20-074/20-074.pdf
PDFhttps://arxiv.org/pdf/2005.14165.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-9-document-classification
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/09%20Document%20Classification/09-1_Document%20Classification%20-%20Vector%20Space%20Models.pdf
Videohttps://www.youtube.com/watch?v=0Cd1bbD1CUE&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=23
Formulationhttps://www.youtube.com/watch?v=PsVyx6erzrU&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=9
Learninghttps://www.youtube.com/watch?v=vGMMulhLoYE&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=10
Interpretationhttps://www.youtube.com/watch?v=3sZx4O2aQs8&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=11
Recursive Partitioning and Pruninghttps://www.youtube.com/watch?v=w6eCV1GzsLs&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=18
Perceptronhttps://www.youtube.com/watch?v=s0ObHKy_MYk&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=21
Multi-layer Perceptronhttps://www.youtube.com/watch?v=YitouyZ-S94&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=22
Overviewhttps://www.youtube.com/watch?v=Y8xfvgKc_KM&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=24
Bagginghttps://www.youtube.com/watch?v=giIaZDXu2No&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=25
Random Foresthttps://www.youtube.com/watch?v=wB0ELX15kN8&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=26
AdaBoosthttps://www.youtube.com/watch?v=Y2rsmO6Nr4I&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=27
Gradient Boosting Machine (GBM)https://www.youtube.com/watch?v=1qnZ6JKZTNI&list=PLetSlH8YjIfWKLpMp-r6enJvnk6L93wz2&index=28
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/09%20Document%20Classification/09-2_Document%20Classification_CNN.pdf
Videohttps://www.youtube.com/watch?v=r3Liq9B6cTo&list=PLetSlH8YjIfVzHuSXtG4jAC2zbEAErXWm&index=24
(Optional) 발표자 이기창https://youtu.be/_0bOjspRG6s
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/09%20Document%20Classification/09-3_Document%20Classification_RNN.pdf
Videohttps://www.youtube.com/watch?v=3a-6QKRl26Q
PDFhttp://www.aclweb.org/anthology/D14-1181
PDFhttps://arxiv.org/pdf/1509.01626.pdf
PDFhttps://www.sciencedirect.com/science/article/pii/S0950705118301710
PDFhttp://www.aclweb.org/anthology/N16-1174
PDFhttps://arxiv.org/pdf/1409.0473.pdf
PDFhttps://arxiv.org/pdf/1508.04025.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-10-sentiment-analysis
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/10%20Sentiment%20Analysis/10_1_Sentiment%20Analysis%20Overview.pdf
Videohttps://www.youtube.com/watch?v=5ZC37vpaU-4
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/10%20Sentiment%20Analysis/10_2_Sentiment%20Analysis_Lexicon-based%20Approach.pdf
Videohttps://www.youtube.com/watch?v=_YkDv1EFgwU
Slidehttps://github.com/pilsung-kang/text-analytics/blob/master/10%20Sentiment%20Analysis/10_3_Sentiment%20Analysis_ML-based%20Approach.pdf
Videohttps://youtu.be/9roNxTSIHus
PDFhttps://nlp.stanford.edu/pubs/hamilton2016inducing.pdf
PDFhttps://arxiv.org/ftp/arxiv/papers/1801/1801.07883.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-11-text-summarization
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/11%20Text%20Summarization/Text%20Summarization_Overview.pdf
Videohttps://youtu.be/25TEdaQPqQY
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/11%20Text%20Summarization/Graph-based%20Extractive%20Summarization.pdf
Videohttps://youtu.be/Jaa3DmhJ5CM
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/11%20Text%20Summarization/Neural%20Network-based%20Extractive%20Summarization.pdf
Videohttps://youtu.be/2DTxDqh4c8s
Video (발표자: 최종현)https://youtu.be/_yWyO9s5rBk
Video (발표자: 이유경)https://youtu.be/8E2Ia4Viu94
Slidehttps://github.com/pilsung-kang/Text-Analytics/blob/master/11%20Text%20Summarization/Abstractive%20Summarization.pdf
Videohttps://youtu.be/RrchhYdGpvE
Video (발표자: 이정훈)https://youtu.be/PQk9kr9dGu0
PDFhttps://www.aclweb.org/anthology/W04-1013.pdf
PDFhttps://arxiv.org/pdf/1803.01937.pdf
PDFhttps://www.aclweb.org/anthology/W04-3252.pdf
PDFhttps://www.jair.org/index.php/jair/article/view/10396/24901
PDFhttps://dl.acm.org/doi/pdf/10.1145/1835804.1835931
PDFhttps://ojs.aaai.org/index.php/AAAI/article/view/10958/10817
PDFhttps://arxiv.org/pdf/1807.02305.pdf
PDFhttps://arxiv.org/pdf/1602.06023.pdf
PDFhttps://arxiv.org/pdf/1704.04368.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-12-question-and-answering-optional
Video (발표자: 조규원)https://youtu.be/7u6Ys7I0z2E
Video (발표자: 김형석)https://youtu.be/CbY_xcBGR20
Video (발표자: 김형석)https://youtu.be/uIoXJcsPj_8
Video (발표자: 허재혁)https://youtu.be/CM5lRnNad2Q
Video (발표자: 김지나)https://youtu.be/8uGpr-WyWlI
Video (발표자: 조규원)https://youtu.be/xu6tv1aoTOY
Video (발표자: 이윤승)https://youtu.be/uY6cWyG0JRQ
PDFhttps://arxiv.org/pdf/1606.05250.pdf
PDFhttps://arxiv.org/pdf/1806.03822.pdf
PDFhttps://arxiv.org/pdf/1503.08895.pdf
PDFhttps://arxiv.org/pdf/1506.07285.pdf
https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#topic-13-open-information-extraction-optional
Video (발표자: 노영빈)https://youtu.be/tUx3LgBhrXE
@koreahttps://github.com/korea
Readme https://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics
Activityhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/activity
Custom propertieshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/custom-properties
1 starhttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/stargazers
0 watchinghttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/watchers
0 forkshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/forks
Report repository https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FDSBA-Lab%2FText-Analytics&report=DSBA-Lab+%28user%29
Releaseshttps://patch-diff.githubusercontent.com/DSBA-Lab/Text-Analytics/releases
Packages 0https://patch-diff.githubusercontent.com/orgs/DSBA-Lab/packages?repo_name=Text-Analytics
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