qdap की polarity और बिल्ट-इन लेक्सिकॉन को समझें
R में Sentiment Analysis
Ted Kwartler
Data Dude
polarity()
एक उदाहरण subjectivity lexicon:
| Word | Polarity |
|---|---|
| Amazing | Positive |
| Bad | Negative |
| Good | Positive |
| ... | ... |
| Wonderful | Positive |
Context cluster
उदाहरण context cluster:
The DataCamp sentiment course is very GOOD for learning.
Context cluster, आगे
उदाहरण context cluster:
The DataCamp sentiment course is very GOOD for learning.
| Term | Class | Word Count |
|---|---|---|
| Very | Amplifier | 1 |
| Good | Polarized Term/Positive | 1 |
| All other words | Neutral | 7 |
Context cluster शब्दावली
- Polarized Term - सकारात्मक/नकारात्मक से जुड़े शब्द
- Neutral Term - कोई भावनात्मक संदर्भ नहीं
- Negator - जो polarized अर्थ पलट दें, जैसे "not good"
- Valence Shifters - शब्द जो भावनात्मक संदर्भ बदलते हैं
- Amplifiers - जो भावनात्मक तीव्रता बढ़ाएँ
- De-Amplifiers - जो भावनात्मक तीव्रता घटाएँ
Context cluster स्कोरिंग
उदाहरण context cluster:
The DataCamp sentiment course is very GOOD for learning.
| Term | Class | Word Count | Polarity Value |
|---|---|---|---|
| Very | Amplifier | 1 | 0.8 |
| Good | Polarized Term/Positive | 1 | 1 |
| All other words | Neutral | 7 | 0 |
Polarity गणना
| Class | Word Count | Polarity Value |
|---|---|---|
| Amplifier | 1 | 0.8 |
| Polarized Term | 1 | 1 |
| Neutral | 7 | 0 |
| Sum | 9 | 1.8 |
उदाहरण Context Cluster
The DataCamp sentiment course is very GOOD for learning.
- 1 + 0.8 = 1.8
- 1+1+7 = 9
- $$\frac{1.8}{\sqrt{9}}$$
उत्तर: 0.6
अभ्यास करते हैं!
R में Sentiment Analysis
