stanfordnlp/CoreNLP · error · RuntimeException

Could not find sentiment score for phrase id " + phraseId

Error message

Could not find sentiment score for phrase id " + phraseId

What it means

After resolving a phrase id, the converter looks up its sentiment score in the sentimentScores map (from sentiment_labels.txt). A missing entry means the score file does not cover that phrase id, so the class label cannot be computed and a RuntimeException is thrown.

Solutions

  1. Regenerate or re-download sentiment_labels.txt from the full SST release
  2. Verify sentiment_labels.txt contains a line for the reported phraseId
  3. If building custom data, assign a score to every phrase id before conversion

Example fix

// before: labels file truncated at 100000 lines
// after: complete file
wc -l sentiment_labels.txt  # must equal number of phrases in dictionary.txt
Defensive patterns

Strategy: validation

Validate before calling

for (Integer id : usedPhraseIds) if (!sentimentScores.containsKey(id)) throw new IllegalStateException("Missing sentiment score for id " + id);

Try / catch

try { convertTree(...); } catch (RuntimeException e) { if (e.getMessage().startsWith("Could not find sentiment score")) { logMissingId(extractId(e)); } else throw e; }

Prevention

When it happens

Trigger: sentiment_labels.txt missing entries for phrase ids present in dictionary.txt, or loading the wrong label file (e.g. binary vs fine-grained distribution files) whose keys don't align.

Common situations: Partial/corrupted sentiment_labels.txt, custom datasets with dictionary ids but no sentiment annotations, file mix-ups between dataset versions.

Understand the failure class

Background: 'Could not be found', 'does not exist', 'not found in database': the resource-not-found family when an ID, slug, key, or URI lookup comes back empty — this error's family across 20 libraries.

Related errors

AI-assisted analysis of stanfordnlp/CoreNLP@1b7edd19c4 (2026-09-10). Data as JSON: /api/errors/a8ab2c46c20e9e24. Report an issue: GitHub.

Appendix: source

Thrown at src/edu/stanford/nlp/sentiment/ReadSentimentDataset.java:277

      List<Tree> leaves = subtrees[i].getLeaves();
      List<String> words = CollectionUtils.transformAsList(leaves, TRANSFORM_TREE_TO_WORD);
      // First we look for a copy of the phrase with -LRB- -RRB-
      // instead of ().  The sentiment trees sometimes have both, and
      // the escaped versions seem to have more reasonable scores.
      // If a particular phrase doesn't have -LRB- -RRB- we fall back
      // to the unescaped versions.
      Integer phraseId = phraseIds.get(CollectionUtils.transformAsList(words, TRANSFORM_PARENS));
      if (phraseId == null) {
        phraseId = phraseIds.get(words);
      }
      if (phraseId == null) {
        throw new RuntimeException("Could not find phrase id for phrase " + sentence);
      }
      // TODO: should we make this an option?  Perhaps we want cases
      // where the trees have the phrase id and not their class
      Double score = sentimentScores.get(phraseId);
      if (score == null) {
        throw new RuntimeException("Could not find sentiment score for phrase id " + phraseId);
      }

      int classLabel = Math.round((float) Math.floor(score * (float) 5));
      if (classLabel > 4 || classLabel < 0) {
        throw new RuntimeException("Unexpected class label: score " + score + " became " + classLabel);
      }
      subtrees[i].label().setValue(Integer.toString(classLabel));
    }

    for (int i = 0; i < sentence.size(); ++i) {
      Tree leaf = subtrees[i].children()[0];
      for (Pair<String, String> replacement : singleWordReplacements) {
        if (leaf.label().value().equals(replacement.first)) {
          leaf.label().setValue(replacement.second);
        }
      }
      leaf.label().setValue(escaper.escapeString(leaf.label().value()));
    }

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