Top "Nlp" questions

Natural language processing (NLP) is a subfield of artificial intelligence that involves transforming or extracting useful information from natural language data.

How to perform Lemmatization in R?

This question is a possible duplicate of Lemmatizer in R or python (am, are, is -> be?), but I'm …

r nlp lemmatization
Python module with access to english dictionaries including definitions of words

I am looking for a python module that helps me get the definition(s) from an english dictionary for a …

python dictionary module nlp nltk
Filter Twitter feeds only by language

I am using Tweepy API for extracting Twitter feeds. I want to extract all Twitter feeds of a specific language …

python twitter nlp tweepy twitter-streaming-api
How do you implement a "Did you mean"?

Possible Duplicate: How does the Google “Did you mean?” Algorithm work? Suppose you have a search system already in your …

nlp
Using NLTK and WordNet; how do I convert simple tense verb into its present, past or past participle form?

Using NLTK and WordNet, how do I convert simple tense verb into its present, past or past participle form? For …

python nlp nltk wordnet
Feature Selection and Reduction for Text Classification

I am currently working on a project, a simple sentiment analyzer such that there will be 2 and 3 classes in separate …

python nlp svm sentiment-analysis feature-extraction
Keras Text Preprocessing - Saving Tokenizer object to file for scoring

I've trained a sentiment classifier model using Keras library by following the below steps(broadly). Convert Text corpus into sequences …

machine-learning neural-network nlp deep-learning keras
Java Open Source Text Mining Frameworks

I want to know what is the best open source Java based framework for Text Mining, to use botg Machine …

java frameworks machine-learning nlp information-retrieval
What is the difference between Luong attention and Bahdanau attention?

These two attentions are used in seq2seq modules. The two different attentions are introduced as multiplicative and additive attentions …

tensorflow deep-learning nlp attention-model
What do spaCy's part-of-speech and dependency tags mean?

spaCy tags up each of the Tokens in a Document with a part of speech (in two different formats, one …

python nlp spacy