Text Analytics and Opinion Mining Module
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IntroductionPDF
This lecture provides an introduction to Text Analytics and Opinion Mining
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Workflow of a Sentiment Analysis activityPDF
This lecture describes the workflow of a Sentiment Analysis activity
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Text IndexingPDF
This lecture focuses on Text Indexing
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Machine LearningPDF
This lecture focuses on Supervised, Unsupervised, Semi-supervised Machine...
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Language ModelsPDF
This lecture focuses on Language Models
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RegressionPDF
This lecture focuses on Regression
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Spam DetectionPDF
This lecture focuses on Spam Detection
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Additional Info
Field | Value |
---|---|
Availability | On-Site |
Course | "UNIPI Master in Big Data Analytics & Social Mining " |
Keywords | Spam Detection |
Keywords | Ordinal Regression |
Keywords | Linear Regression |
Keywords | Document Embeddings |
Keywords | Word2Vec |
Keywords | Word Embeddings |
Keywords | Text Classification |
Keywords | Text Clustering |
Keywords | Supervised Machine Learning |
Keywords | Unsupervised Machine Learning |
Keywords | Text Indexing |
Keywords | Text Processing |
Keywords | Text Representation |
Keywords | Sentiment Analysis |
Keywords | Natural Language Processing |
Keywords | Text Mining |
Length | 278 slides |
Lesson number | 7 |
Prerequisites | None |
Provider Institution | CNR-ISTI |
Target users | Other |
Target users | PhD Students |
Target users | Data Scientists |
Target users | Social Scientists |
Thematic Cluster | Web Analytics [WA] |
Thematic Cluster | Social Network Analysis [SNA] |
Thematic Cluster | Text and Social Media Mining [TSMM] |
Training material typology | Slides |
system:type | TrainingMaterial |
Management Info
Field | Value |
---|---|
Author | BRAGHIERI MARCO |
Maintainer | BRAGHIERI MARCO |
Version | 1 |
Last Updated | 14 October 2021, 14:15 (CEST) |
Created | 6 September 2018, 14:39 (CEST) |