All Questions
Tagged with algorithmsnlp
12 questions
1vote
1answer
53views
Which ML algorithm is best works on text data and the reason behind it? Also, which metrics is used for testing performance of model?
I am working on a project - 'sentiment analysis of tweets.' There are 5 different sentiments - extremely negative, negative, neutral, positive, and extremely positive. So it is basically the NLP ...
1vote
0answers
149views
Machine learning algorithms for suggesting new baby names [closed]
https://www.lexalytics.com/lexablog/machine-learning-natural-language-processing https://towardsdatascience.com/named-entity-recognition-ner-meeting-industrys-requirement-by-applying-state-of-the-art-...
1vote
1answer
50views
NLP methods specific to a language?
What NLP methods / algorithms depend on the features existing only in some languages? For example, does French has any NLP algorithms that English NLP and Spanish NLP do not have?
- 295
2votes
1answer
766views
Is there any way to calculate a relevance score between a title and the content of a text?
My question might sound a little bit stupid but I am trying to come up with a way to measure the relevance of the title of a text, let's say a piece of news headline, to the content. My idea would be ...
1vote
3answers
172views
Need some info regarding string matching algorithms?
Let me explain a scenario to better explain my question, Assume I am working in a credit-card related company in which people uploads their receipts every month, I want to check if that person bought ...
- 347
1vote
1answer
3kviews
Is Annoy a machine learning algorithm to find nearest neighbor ? and is it similar to K nearest neighbor algorithm?
I was researching about Google universal sentence encoding and i saw that it uses simple neighbor/Annoy to find the nearest vector for semantic-similarity search engine. This is the first time i'm ...
- 1,511
0votes
1answer
193views
Comparing English word pronunciation complexity
I'm trying to figure out a way to compute a score for the pronunciation of a given english word, so I can use that score to compare the pronunciation complexity between english words. Eg: Given ...
- 315
5votes
1answer
3kviews
NLP algorithms for categorizing a list of words with specific topics
Currently I am using LDA to apply topic modeling to a corpus. Since LDA is unsupervised, it returns a set of words for a given 'topic' but doesn't necessarily specify the topic itself. I was wondering ...
- 153
9votes
4answers
19kviews
Algorithms and techniques for spell checking
Can anyone suggest any algorithm and technique for spell checking? After some googling, I found some interesting ones such as this one from Peter Norvig, http://norvig.com/spell-correct.html and few ...
- 343
11votes
1answer
4kviews
How to determine if character sequence is English word or noise
What kind of features you will try to extract from list of words for future predicting, is it existing word or just mess of characters ? There is description of task that I found there. You have to ...
- 165
1vote
1answer
216views
How to define person's gender from the fullname?
Given person's name, e.g. 'Adjutor Ferguson'. How to define is it a male or female? One solution came to my mind: ...
- 113
4votes
3answers
268views
Could one algorithm fetch keywords from texts of different natural languages?
I am new to practicing NLP and most topics related, but I want to make a program that can gather and extract data for me on its own. To be more specific, I want to tell the program "I want more ...
- 151
