https://github.com/agalabov/moviereviewsentimentanalyzer

Review analyzer based on previous knowledge from a file with reviews.
https://github.com/agalabov/moviereviewsentimentanalyzer

Last synced: about 1 month ago
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Review analyzer based on previous knowledge from a file with reviews.

• Host: GitHub
• URL: https://github.com/agalabov/moviereviewsentimentanalyzer
• Owner: AGalabov
• Created: 2019-03-13T13:28:25.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-13T13:44:58.000Z (almost 6 years ago)
• Last Synced: 2023-07-31T18:10:46.365Z (over 1 year ago)
• Language: Java
• Size: 421 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MovieReviewSentimentAnalyzer

The program reads a file of reviews starting with a mark varying from 0 to 4.

```

  0 -> "negative"  

  1 -> "somewhat negative"  

  2 -> "neutral"  

  3 -> "somewhat positive"  

  4 -> "positive"  

```

Based on that knowledge it can access the top few positive/negative/most used words and also calculate a mark for any review.

## Usage

```java

public double getReviewSentiment(String review)

public String getReviewSentimentAsName(String review)

public double getWordSentiment(String word)

public Collection getMostFrequentWords(int n)

public Collection getMostPositiveWords(int n)

public Collection getMostNegativeWords(int n)

```