Questions tagged [spacy]

Industrial strength Natural Language Processing (NLP) with Python and Cython

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1answer
13 views

Extracting Names using NER | Spacy

I'm new to NER and I've been trying to extract names using Spacy. Here's my code: ...
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0answers
16 views

Medical NER for French language

I'm currently exploring the options to extract medical NER specifically for French language. I tried SpaCy's general French NER but it wasn't helpful to the cause (...
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31 views

Spacy custom NER-Model - losses too high?

I trained a Spacy model with 1269 examples for 5 entities. I get losses as follows. Is that too high? ...
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1answer
23 views

Spacy - Ignored (essential) entities during labeling - how important is this aspect?

I'm training a custom Spacy model. Does it affect the results whether I leave entities unlabeled? For example, Germany is LOC. In one example (1) I label this. In the other example (2) I ignore it and ...
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2answers
158 views

Converting paragraphs into sentences

I'm looking for ways to extract sentences from paragraphs of text containing different types of punctuations and all. I used SpaCy's ...
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2answers
82 views

Is NLP suitable for my legal contract parsing problem?

My company has a product that involves the extraction of a variety of fields from legal contract PDFs. The current approach is very time consuming and messy, and I am exploring if NLP is a suitable ...
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1answer
40 views

How to go about training a NER model to extract book citations in free-form?

I'm doing a project where I wish to create a graph visualization of free-form citations (not academic style citations) across all my e-books. E.g. David Foster Wallace's essays cite a lot of other ...
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0answers
71 views

improve NER model accuracy with spaCy dependency tree

I have search at lot, was not able to find a solution for my problem... I am training a NER model, that should detect two types of words: Instructions and Conditions. This is not the standard use-case ...
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71 views

Training custom NER on OCR text with SpaCy won't train

I want to perform information extraction from documents. I wanted to try Spacy's NER method, so I follow following steps : 1)OCR on text document, using Tesseract. As output I have a list of words ...
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1answer
17 views

making conclusions after sentiment analysis

After performing some sentiment analysis, I have a dataset that looks like this: For different products, using online reviews, I have obtained some values for positive/negative sentiments. However, ...
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1answer
42 views

Smart sentence segmentation not splitting on abbreviations

Sentencer from SpaCy and NLTK does not catch the fact that typical abbreviations (e.g. Mio. for Million in German) and the ...
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1answer
53 views

Spacy tokenizer that strips HTML/XML keeping the positions

I'm new to Spacy and infact new to Data Science. I would like to process some XML files for NER and then mark that in the original XML. I would like to know how to tokenize the XML for the NER. I ...
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1answer
279 views

How to serialize/pickle a spacy ner model?

I have trained a custom SpaCy named entity recognition model. I saved the model to disk using: nlp.to_disk() which results in keeping the model in a folder. Is it ...
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1answer
389 views

Twitter POS and NER: What is state-of-the-art?

What is the current state-of-the-art for pos tagging and named entity recognition for twitter data? Are industrial-strength programs like Spacy and ...
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15 views

spacy train cli compare iterations

So I am running: spacy train da [several] [options] [here] And I am getting a nice overview in the console about the performance of each iteration, in terms of P, ...
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1answer
113 views

Detect passive voice in headlines

To detect passive voice in sentences, we can use the spacy module to tag each token in the sentence, then build a classifier to classify it as passive or active based on conventional grammatical rules,...
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1answer
40 views

Text Classification on a very small data set with a lot of classes

I have a data set consisting of 455 rows spread over 21 different classes. The data set is imbalanced as well as you can see below. ...
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2answers
32 views

How do you distinguish between conversational text and possible news article?

Context When you receive messages in group chats, how do you detect if that message belongs to conversational dialogue or if it is a 'news' article (could be fake or real) that they are sharing? ...
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1answer
104 views

spaCy - Text Preprocessing - Keeping “Pronouns” in text

I am fairly new to machine learning and NLP in general. I am trying to wrap my head around how to do proper text pre-processing (cleaning the text). I have built a custom text classification model. I ...
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1answer
39 views

Organization finder in spaCy

I am trying to find the parties between which the agreement is executed from the statement below. AGREEMENT, dated as of January 10, 2000, is entered into by and between ABC-EFG GROUP Inc. having an ...
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1answer
825 views

Address parsing using spaCy

I am trying to parse addresses from various documents using spaCy using NER but the results are not so accurate. I know this is bit generic question but it would be a great help if I could get ...
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1answer
68 views

SpaCy string store

I am trying to get the hash values for some English words from the string store of SpaCy. ...
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1answer
146 views

What should return doc.ents if the doc have no entities, in spacy?

I want to answer this question: "How many sentences contain named entities given a doc?" and I have this piece of code as solution ...
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0answers
190 views

Flair Custom NER

I'm working on a problem in the domain of NER. I have a dataset wherein I need to have custom tags for different entities. I don't know how to start or even where to start. I know that there are ...
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0answers
136 views

Character-level embeddings in python

I'm working on an NLP task that requires the use of character level embeddings, and I've been trying to use Spacy. However, it seems that spacy uses word-level embeddings for the word vectors, and I ...
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1answer
59 views

Where does spacy, nltk, prodigy, sklearn fit in the AI project?

Where does tools like spacy, sklearn, prodigy, nltk fit in the below AI project architecture and what are some common alternatives to these:
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1answer
711 views

Spacy v2.0.1 custom NER: How to improve training of existing model

I implemented custom NER with bellow trained data first time and it gives me good prediction with Name and PrdName. I mentioned code bellow. ...
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0answers
40 views

Change the way spacy works - Custom properties for training and prediction

Spacy detects the entities using its predefined algorithm. It parses tokens in text considering position of tokens with respect to tokens surrounding it. It also takes into consideration the POS ...
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1answer
1k views

Can not install spacy package on windows 10 via pip

I have below environment. OS: Windows 10 Python: Python 3.7.4 PIP: pip 19.3.1 I am trying to install spacy in my windows 10 OS. It gives me below error. ...
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1answer
187 views

Difficulty interpreting word embedding vector similarity (spaCy)

I calculate vector similarities like this: ...
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3answers
73 views

Chunking Sentences with Spacy

I have a lot of sentences (500k) which looks like this: ...
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2answers
154 views

How to obtain the word vectors optimally

I have a list of strings as shown sent_list = ["Carrefour is in France", "Apple pie is delicious", "Amazon has just delivered", ...] My code to get word ...
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1answer
183 views

NLP techniques to label unlabeled data in a dataset [closed]

So I have a .xls file with negative and neutral reviews of a medicine. However, this dataset does not have labels. I converted this .xls into a dataframe and I am using the Spacy Lib. I have to use ...
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2answers
402 views

Custom POS tags with SpaCy for NER

Quite new to NLP and especially NER. I'm trying to train a NER model on a custom dataset. This is a dataset of houses for sale. As part of the entities I'm training the model to extract are reference ...
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1answer
260 views

Will the performance of my NER model improve?

I am training a spacy model from scratch by creating a dataset of my own with format spacy needs it to be in, the model is an NER model and the entity i am trying to recognize is Food items. I have ...
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1answer
580 views

Spacy word embeddings for sentence

Spacy offers pre-trained vectors for words. However I have notices that you can get vectors for sentences too: spacy_nlp('hello I').has_vector == True However I ...
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1answer
3k views

Is there any way to define custom entities in Spacy

1) I have just started working on NLP the basic Idea is to extract meaningful information from text. For this I am using "Spacy". As far as I have studied Spacy has following entities. ORG PERSON ...
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1answer
508 views

Sentiment Analysis of News Headlines

I'm trying to do sentiment analysis of News Headlines about a particular subject mentioned in it. Initially, I used TextBlob library for sentiment analysis to ...
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1answer
33 views

Getting Value Error while training a model for binary classification

While training a sequential model using Keras, Im getting this error The model summary is shown below ...
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1answer
371 views

Spacy Text classification (Binary Classification)

I have a dataset of two folders. One of them contains the documents(text, pdfs) related to personal information (like name,email,address etc), the other contains non-personal information. I have to ...
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1answer
1k views

Facing this issue while predicting “CountVectorizer - Vocabulary wasn't fitted”

#these are classifier and vectorizer vectorizer = CountVectorizer(tokenizer = spacy_tokenizer, ngram_range=(1,1)) classifier = LinearSVC() I have created a ...
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1answer
5k views

How to train a spacy model for text classification?

Can i know the way or steps to train a spacy model for text classification. (binary classification in my case) Please help me with the process and way to approach.
2
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1answer
548 views

SpaCy vs AllenNLP?

I have used a little of both spaCy and allenNLP in my NLP projects. I like them both as they work very well with PyTorch (my DL framework choice!). But, I still cannot decide which one to master in a ...
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1answer
1k views

How to replace words in a sentence with their POS tag generated with SpaCy efficiently?

How is it possible to replace words in a sentence with their respective PoS tags generated with SpaCy in an efficient way?
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1answer
129 views

How can I extract numerical information conditional on other information?

Given text data, I'd like to extract numerical information based on the presence of other information. For instance, "There are 119 people in the gym right now. 100 people in the weight room, 19 on ...