All Questions
Tagged with language-model stanford-nlp
5 questions
0
votes
1
answer
348
views
How to predict the sentiment of the entities form the tweet?
I have a JSON file (tweets.json) that contains tweets (sentences) along with the name of
the author.
Objective 1: Get the most frequent entities from the tweets.
Objective 2: Find out the sentiment/...
CommunityBot
- 1
4
votes
1
answer
563
views
In smoothing of n-gram model in NLP, why don't we consider start and end of sentence tokens?
When learning Add-1 smoothing, I found that somehow we are adding 1 to each word in our vocabulary, but not considering start-of-sentence and end-of-sentence as two words in the vocabulary. Let me ...
CommunityBot
- 1
1
vote
0
answers
32
views
Recommendations of NLP for classifying sentance into tense forms
I have a dataset of tweets. I have to classify each tweet into it's tense forms like whether it's about past, present or future. So for that can you please recommend any pretrained NLP model or method ...
- 2,075
1
vote
0
answers
313
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Stanford NER Training - Assign weight to each word
I am using the Stanford NER to recognize each entity in a search text. Once I identify entities, I need to pass that entities to an algorithm which calculates score for each entity type (e.g. country, ...
- 1,657
1
vote
0
answers
64
views
For an n-Gram model with n>2, do we need more context at end of each sentence?
Jurafsky's book says we need to add context to left and right of a sentence:
Does this mean,
for example, if we've a corpus of three sentences: ...
- 123