All Questions
Tagged with performance nlp
6 questions
7
votes
1
answer
2k
views
How much text is enough to train a good embedding model?
I need to train a word2vec embedding model on Wikipedia articles using Gensim.
Eventually, I will use the entire Wikipedia for that
but for the moment, I'm doing some experimentation/optimization to ...
- 221
4
votes
2
answers
4k
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Accuracy of Stanford NER
I am performing Named Entity Recognition using Stanford NER. I have successfully trained and tested my model. Now I want to know:
1) What is the general way of measuring accuracy of NER model ?? For ...
- 295
3
votes
1
answer
2k
views
Xgboost multiple class predictive performance beats one versus rest
I have an NLP task I'm tackling with xgboost (R implementation).
Before describing my doubt I'll give you some background:
I have a corpus of documents for which I did topic discovery, using a term ...
- 195
1
vote
0
answers
26
views
How to balance time/effort with transformations, feature selection, and models efficacy in nlp? [closed]
Edit: Question has been edited for reopening (see comment section for justification)
Being to new text analytics, I haven't gotten the hang of navigating a typical workflow given the longer times ...
- 141
1
vote
0
answers
121
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Performance Metric for topic extraction when there is no ground truth
I am extracting topics from text using a predefined ontology containing 2690 concepts, wordnet(to expand concept terms with their synsets, and other morphological forms of the same word) and lucene to ...
- 21
0
votes
1
answer
157
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Ordering training text data by length
If I have text data where the length of documents greatly varies and I'd like to use it for training where I use batching, there is a great chance that long strings will be mixed with short strings ...
