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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 | Text Mining |
| Keywords | Natural Language Processing |
| Keywords | Sentiment Analysis |
| Keywords | Text Representation |
| Keywords | Text Processing |
| Keywords | Text Indexing |
| Keywords | Unsupervised Machine Learning |
| Keywords | Supervised Machine Learning |
| Keywords | Text Clustering |
| Keywords | Text Classification |
| Keywords | Word Embeddings |
| Keywords | Word2Vec |
| Keywords | Document Embeddings |
| Keywords | Linear Regression |
| Keywords | Ordinal Regression |
| Keywords | Spam Detection |
| Length | 278 slides |
| Lesson number | 7 |
| Prerequisites | None |
| Provider Institution | CNR-ISTI |
| Target users | Social Scientists |
| Target users | Data Scientists |
| Target users | PhD Students |
| Target users | Other |
| Thematic Cluster | Text and Social Media Mining [TSMM] |
| Thematic Cluster | Social Network Analysis [SNA] |
| Thematic Cluster | Web Analytics [WA] |
| Training material typology | Slides |
| system:type | TrainingMaterial |
Management Info
| Field | Value |
|---|---|
| Author | BRAGHIERI MARCO |
| Maintainer | BRAGHIERI MARCO |
| Version | 1 |
| Last Updated | 29 January 2025, 19:13 (CET) |
| Created | 29 June 2018, 11:33 (CEST) |
