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mds:txa:start [02/02/2021 alle 09:18 (3 anni fa)]
Andrea Esuli [Exam]
mds:txa:start [15/11/2021 alle 07:32 (2 anni fa)]
Andrea Esuli [Lecture Notes]
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-====== Text Analytics A.Y. 2020/21 ======+====== Text Analytics (635AA) A.Y. 2021/22 ======
  
  
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 ==== Schedule  ==== ==== Schedule  ====
  
-Lectures will be given using Microsoft Teams. +^ Day ^ Hour ^ Room ^  
-[[https://teams.microsoft.com/l/team/19%3ad515c158b0c64bc8b4efa3b21aab6fa7%40thread.tacv2/conversations?groupId=205782a2-623f-4f50-a391-9d4f22d4d604&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Join the Text Analytics Team here.]] +Monday | 9-11 | Fib C - [[https://teams.microsoft.com/l/channel/19%3aPNQvMI4MdxtWb0_5d1r1UoIPA9QHxRe6kOuZ9VHTG-I1%40thread.tacv2/General?groupId=109c5615-d2be-49ef-848f-85c7aa07de5b&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams]]| 
- +Friday| 11-13 Fib M1 -  [[https://teams.microsoft.com/l/channel/19%3aPNQvMI4MdxtWb0_5d1r1UoIPA9QHxRe6kOuZ9VHTG-I1%40thread.tacv2/General?groupId=109c5615-d2be-49ef-848f-85c7aa07de5b&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams]]|
-Lecture recording is available on Microsoft Teams for delayed viewing. +
- +
-^ Day ^ Hour ^ Room ^ +
-Wednesday | 9-11 | [[https://teams.microsoft.com/l/team/19%3ad515c158b0c64bc8b4efa3b21aab6fa7%40thread.tacv2/conversations?groupId=205782a2-623f-4f50-a391-9d4f22d4d604&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Text Analytics Team]] | +
-Thursday 9-11 | [[https://teams.microsoft.com/l/team/19%3ad515c158b0c64bc8b4efa3b21aab6fa7%40thread.tacv2/conversations?groupId=205782a2-623f-4f50-a391-9d4f22d4d604&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Text Analytics Team]] |+
  
  
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 ==== Exam ==== ==== Exam ====
 +
 +**__Students MUST contact the teacher at least one month before the date set for the exam session__, so as to agree on the contents of the project and get a go ahead.**
 +
 +**The date set for the exam session ([[https://esami.unipi.it/esami/findcourse.php?id=52426|Check here]]) is the deadline for submitting the completed project (report and code).**
  
 Exam will consist in a project to be agreed with the teacher and an oral exam. Exam will consist in a project to be agreed with the teacher and an oral exam.
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 Students may work solo or in groups up to three persons. Students may work solo or in groups up to three persons.
- 
-Before starting working on the project students must contact the teacher so as to agree on the contents of the project and get a go ahead. 
  
 ==== Lecture Notes ==== ==== Lecture Notes ====
  
 ^ Date ^ Lecture ^ Notes ^ ^ Date ^ Lecture ^ Notes ^
-2020/09/16 | Introduction to the course | {{ :mds:txa:00_-_introduction_to_the_text_analytics_course.pdf |}} {{ :mds:txa:01_-_natural_language_and_text_analytics.pdf |}} | +2021/09/13 | Introduction to the course, NLP & Text Analytics | {{ :mds:txa:00_-_introduction_to_the_text_analytics_course.pdf |}}{{ :mds:txa:01_-_natural_language_and_text_analytics.pdf |}} | 
-2020/09/17 | Introduction to probability | {{ :mds:txa:02_-_introduction_to_probability.pdf |}} | +2021/09/17 | Introduction to probability | {{ :mds:txa:02_-_introduction_to_probability.pdf |}}  |  
-2020/09/23 Setup of Python environment | {{ :mds:txa:03_-_introduction_to_python.pdf |}} +2021/09/20 //canceled// |  
-| 2020/09/24 | Introduction to Python | {{ :mds:txa:03_1_introduction_to_python.zip |}} | +| 2021/09/24 | Introduction to python 1/2 | {{ :mds:txa:03_-_introduction_to_python.pdf |}} {{ :mds:txa:03_1_introduction_to_python.zip |}}|  
-2020/09/30 | Probabilistic Language Models | {{ :mds:txa:04_-_probabilistic_language_models.pdf |}} +2021/09/27 | Introduction to python 2/2 |  |  
-| 2020/10/01 | Probabilistic Language Models | {{ :mds:txa:04_1_probabilisticlanguagemodel.zip |}} | +| 2021/10/01 | Probabilistic Language Models 1/2 | {{ :mds:txa:04_-_probabilistic_language_models.pdf |}} {{ :mds:txa:04_1_probabilisticlanguagemodel.zip |}}|  
-2020/10/07 | Text IndexingRegular expressions | {{ :mds:txa:05_-_text_indexing.pdf |}} {{ :mds:txa:05.1_-_strings_regular_expressions_and_bs4.zip |}} | +2021/10/04 | Probabilistic Language Models 2/2 |  | 
-2020/10/08 | NLTK, Collocations | {{ :mds:txa:05.2_-_nltk.zip |}} {{ :mds:txa:05.3_-_collocations.zip |}} |  +| 2021/10/08 | Text IndexingRegular expressions | {{ :mds:txa:05_-_text_indexing.pdf |}} {{ :mds:txa:05_1_strings_regular_expressions_and_bs4.zip |}}  
-2020/10/14 NLP tools, Spacy, Text indexingpreprocessing | {{ :mds:txa:05.4_-_spacy_text_processing.ipynb.zip |}} |  +2021/10/11 Text Indexing: NLTK, Collocations | {{ :mds:txa:05_2_nltk.zip |}} {{ :mds:txa:05_3_collocations.zip |}} | 
-2020/10/15 Vector space model, ML for text analytics | {{ :mds:txa:06_-_machine_learning_for_text_analytics.pdf |}} |  +2021/10/15 Text Indexing: Spacy, Feature selectionPipeline | {{ :mds:txa:05_4_spacy_text_processing.zip |}}  
-2020/10/21 Scikit learn, pipeline | {{ :mds:txa:06_1_classification_sklearn.zip |}} |  +2021/10/18 Text Indexing: Notebook. Introduction to Machine Learning {{ :mds:txa:05_5_text_indexing_sklearn.zip |}} {{ :mds:txa:06_-_machine_learning_for_text_analytics.pdf |}}| 
-2020/10/22 Feature engineering | {{ :mds:txa:06_2_classification_feature_engineering.zip |}} |  +2021/10/22 Machine Learning for TA: Paradigms and models  {{ :mds:txa:06_-_machine_learning_for_text_analytics.pdf |}} | 
-2020/10/28 Experimental protocolsoptimization | {{ :mds:txa:07_-_experiments.pdf |}} {{ :mds:txa:07_1_optimization_sklearn.zip |}}|  +2021/10/25 Machine Learning for TA: the complete pipeline | {{ :mds:txa:06_1_classification_sklearn.zip |}} | 
-| 2020/10/29 | Sequence labeling, information extraction | {{ :mds:txa:08_-_information_extraction.pdf |}}  |  +2021/10/29 Machine Learning for TA: Feature engineeringTopic Modeling | {{ :mds:txa:06_2_classification_feature_engineering.zip |}} {{ :mds:txa:06.3_-_topic_modeling.pdf |}} {{ :mds:txa:06.4_-_topic_modeling.ipynb.zip |}} | 
-| 2020/11/04 | Inception, spacy | {{ :mds:txa:08_1_spacy_ner_train.zip |}} |  +2022/11/05 | Experimental protocols and optimization | {{ :mds:txa:07_-_experiments.pdf |}} {{ :mds:txa:07_1_optimization_sklearn.zip |}} | 
-2020/11/05 | Data collection | {{ :mds:txa:09_-_data_collection.pdf |}} {{ :mds:txa:09_1_scraping.zip |}} {{ :mds:txa:09_2_data_from_twitter.zip |}} | +2022/11/08 Information Extraction, Entity Annotation | {{ :mds:txa:08_-_information_extraction.pdf |}} {{ :mds:txa:08_1_spacy_ner_train.zip |}}| 
-2020/11/11 Introduction to neural networks | {{ :mds:txa:10_-_a_primer_on_neural_networks.pdf |}} {{ :mds:txa:10.1_-_example_of_backpropagation.pdf |}}|  +2022/11/12 | Data collection | {{ :mds:txa:09_-_data_collection.pdf |}} {{ :mds:txa:09_1_scraping.zip |}} {{ :mds:txa:09_2_data_from_twitter.zip |}}| 
-2020/11/12 | From SVM to NN, deep learning | {{ :mds:txa:10_2_svm_to_nn.zip |}} |  +2022/11/15 Introduction to Neural Networks | {{ :mds:txa:10_-_a_primer_on_neural_networks.pdf |}} {{ :mds:txa:10.1_-_example_of_backpropagation.pdf |}} {{ :mds:txa:10.2_-_svm_to_nn.ipynb.zip |}}| 
-| 2020/11/18 | Convolutional and Recurrent networks, text generation | {{ :mds:txa:10_3_classification_cnnnet.zip |}} {{ :mds:txa:10_4_classification_lstmnet.zip |}} {{ :mds:txa:10_5_textgeneration.zip |}}|  +2022/11/19 Text classification with Neural Networks | {{ :mds:txa:10.3_-_classification_-_cnnnet.ipynb.zip |}} {{ :mds:txa:10.4_-_classification_-_lstmnet.ipynb.zip |}} {{ :mds:txa:10_5_textgeneration.zip |}}| 
-2020/11/19 Word embeddings, neural language models | {{ :mds:txa:11_-_neural_language_models.pdf |}} {{ :mds:txa:11_1_wordembeddings.zip |}}|  +2022/11/22   
-| 2020/11/25 | Document embeddings, the Transformer | {{ :mds:txa:11_2_documentembeddings.zip |}} |  +2022/11/26   
-2020/11/26 BERT fine-tuning | {{ :mds:txa:11_3_bert_finetune_binary.zip |}} {{ :mds:txa:11_4_bert_finetune_multiclass.zip |}} {{ :mds:txa:11_5_simpletransformers_finetune_binary.zip |}} {{ :mds:txa:11_6_simpletransformer_generation_and_representation.zip |}}|  +2022/11/29   
-|2020/12/Parsing {{ :mds:txa:12_-_parsing-1.pptx |}} |  +2022/12/03   |
-|2020/12/Parsing {{ :mds:txa:12_-_parsing-2.pptx |}} |  +
-|2020/12/Introduction to Sentiment Analysis, Sentiment Lexicons {{ :mds:txa:13_-_sentiment_analysis.pdf |}} {{ :mds:txa:14_-_lexical_resources_for_sentiment_analysis.pdf |}} +
-|2020/12/10Sentiment Classification {{ :mds:txa:15_-_sentiment_classification.pdf |}} {{ :mds:txa:15_1_vader.zip |}} +
  
 ==== Textbooks ==== ==== Textbooks ====
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 ==== Previous editions ==== ==== Previous editions ====
  
 +  * [[http://didawiki.di.unipi.it/doku.php/mds/txa/start?rev=1612257498|2020-2021]]
   * [[https://elearning.di.unipi.it/course/view.php?id=162|2019-2020]]   * [[https://elearning.di.unipi.it/course/view.php?id=162|2019-2020]]
   * [[http://didawiki.di.unipi.it/doku.php/mds/txa/start?rev=1551450538|2018-2019]]   * [[http://didawiki.di.unipi.it/doku.php/mds/txa/start?rev=1551450538|2018-2019]]
   * [[http://didawiki.di.unipi.it/doku.php/mds/txa/start?rev=1515682954|2017-2018]]   * [[http://didawiki.di.unipi.it/doku.php/mds/txa/start?rev=1515682954|2017-2018]]
  
mds/txa/start.txt · Ultima modifica: 15/01/2024 alle 10:31 (3 mesi fa) da Laura Pollacci