Questions tagged [nltk]

The Natural Language Toolkit is a Python library for computational linguistics.

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Training NLP with multiple text input features

Question: How can I train a NLP model with discrete labels that is based on multiple text input features? Background: I'm trying to predict the difficulty of a 4-option multiple choice exam ...
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35 views

Tuning Lexicon Sentiment-values Using Machine-learning

I'm constructing a sentiment-analysis model using the lexicon-based approach, and wondering if I can tune the weights of each word-feature in the lexicon using machine-learning. Is this achievable ...
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multiple intents for modifying an intent of a sentence?

Say I have a sentence like 'I refuse to fly' or 'I'd like to fly'. I also have a sentence like 'I don't want to sit'. When training custom intents in one of the available NLU engines (rasa/wit/luis), ...
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2answers
797 views

Combining Machine Learning classifier with NLTK Vader for Sentiment Analysis

As a part of my university project, I am researching/developing a sentiment analysis model where in I am trying to combine NLTK Vader (SentimentIntensityAnalyzer) results with a Machine Learning ...
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3answers
55 views

TFIDF for very short sentences

I'm trying to build a regression model, in which one of the features contains text data. I was thinking in using scikit-learn's ...
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0answers
33 views

Text extraction / mining from specific templates (ML)

believe me if I say that I have read basically all the threads in this website regarding this subject. A lot of them have a similar title, but the problem is somehow different. Small context: just ...
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0answers
173 views

Extracting date, relation and noun phrase from text

A sentence (Segmented from a document) as below: ...
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169 views

Data categorization

I'm using Google API to categorize and predict problems with laptops (Hardware, Software, Network, Customer satisfaction, No reason). I inserted my training data and categories are very well evaluated ...
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1answer
16 views

find bigrams in pandas

I have a DataFrame with 4 columns: 'Headline', 'Body_ID', 'Stance', 'articleBody', with 'Headline' and 'articleBody containing cleaned and tokenized words. I want to find bi-grams using nltk and have ...
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0answers
43 views

Manipulate the nltk.word_tokenize to remove the stopwords and assign to two dataframe

I'm trying to manipulate an imported list of keywords with about 1000 factors from a CSV, tokenizing the list while, at the same time, removing the stop words. A dedicated function, returning a tuple, ...
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0answers
18 views

Determining topic of text

I was wondering what I should be looking into if I want to measure the similarity between a paragraph and a corpus of text. For example, given a paragraph of text and the entire corpus of Data ...
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1answer
131 views

Elbow method for cosine distance

I have clustered vectors by cosine distance using nltk clusterer. If I understand correctly, Y axis for elbow method in euclidian distance would be the sum of every distance (squared) between centroid ...
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2answers
69 views

nltk.corpus for data science related words?

from job description I scraped from the internet, I've went through all nlp processes and I've got to place where I found: ...
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1answer
111 views

How to find possible subjects for given verb in everyday object domain

I am asking for tools (possibly in NLTK) or papers that talk about the following: e.g. Input: Vase(Subject1) put(verb) Ans I am looking for: flower, water Is there a tool that can output subjects (...
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0answers
131 views

Named Entity Recognition using context of the sentence

I have a problem in which I want to know how can we extract or name the entity based on the context in which it is getting used in a sentence. For example: If we have to extract date field which is ...
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0answers
205 views

How can I calculate perplexity for a bigram model?

I didn't find any function in nltk to calculate the perplexity. There are some codes I found: ...
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0answers
99 views

Feature matrix for email classification:

This is in continuation of my earlier post. In my previous model, I used just two features which couldn't fare well and gave 71% prediction (accuracy) score. Now, I'm trying to consider another ...
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0answers
354 views

Installing NLTK using WHL file -

I have previously used WHL (wheel) files to install various Python packages. But, it seems there's no such file for NLTK. Any workaround for this please? https://pypi.org/project/nltk/ The problem ...
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19 views

Automating scoring of answers for a given question

There is a topic 'X' on which students are asked to write an English passage. Given a question, I have multiple solutions with their scorings out of 10. For a given answer by a new candidate, one ...
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212 views

NLP how to go beyond simple intent finding--using context and targeting objects

I'm manually applying NLP rules to a chatbot. Currently, I've a simple set of rules--actions that follow certain trigger words. Ex: "Create the match on saturday." This has been working for ...
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160 views

TextRank using BM25F

I am trying to incorporate BM25F in textrank, I found out a scoring module http://whoosh.readthedocs.io/en/latest/api/scoring.html, but am unable to implement it. Has anyone incorporated this in ...
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0answers
154 views

How to dowload Wikileaks Cable Leaks documents as text corpus?

I'd like to perform NLP analysis on Wikileaks US Diplomatic Cable Leaks documents (https://wikileaks.org/plusd/), preferably as Python's NLTK3 corpus od Mongo DB documents. I couldn't find any option ...
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228 views

NLP : What are some common verbs surrounding organization names in text

I am trying to come up with some rules to detect named entities, specifically company or organization names in text. I think it makes sense to focus on verbs. There are a lot of ...
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30 views

Collecting structured data from HTML source code: A generalized way

I am working on a task to build a generic function to extract some specific fields from HTML source code. The fields we want are such as product title, price, quantity and shipment The generic ...
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1answer
13 views

nltk measure the accuracy of the new features

Have been playing around the NLTK algorithm for some data prediction. Starting form this gib, I started my understanding process. However, there are some bits that don't make sense. If I have a set ...
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15 views

Error while using NLTK/ How should I read paragraph using NLTK?

I am a total newbie. I have a custom text document which is a paragraph. I am trying to read it and display using NLTK. following is my code; ...
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18 views

KDTree classified as AI /ML?

We are currently using a KDTree to find similar documents based on keywords identified via TF-IDF. After the tree is built, we are querying the tree to find nearest points. Would this fall in the ...
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60 views

shallow parsing, dependency parsing, deep parsing

What is the difference between shallow parsing, dependency parsing, deep parsing? I read it on google search that dependency parsing is the bridge between sahallow and deep parsing. Also, the chunking ...
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2answers
345 views

Which libraries in Python are there in NLP to tokenize the Hindi sentence?

For English language there are libraries like NLTK, CoreNLP which are used for Text Normalization, Word Tokenization and Detokenization, Sentence Splitting etc. Like English, is there any library to ...
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2answers
123 views

Unable to resolve Type error using Tokenizer.tokenize from NLTK

I want to tokenize text data and am unable to proceed due to a type error, am unable to know how to proceed to rectify the error, To give some context - all the columns - Resolution code','Resolution ...
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0answers
45 views

How to evaluate an ngram on test data?

I created a MLE bigram language model on a text, however, I don't know how to apply it on test data: The following is my try: ...
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108 views

Sentiment analysis with nltk

I'm studying sentimental analysis with python library nltk, following this example: ...
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3answers
537 views

Python Code to find the number of hapax legomena in a Text or Words_List

In corpus linguistics, a hapax legomenon is a word that occurs only once within a context, either in the written record of an entire language, in the works of an author, or in a single text. The term ...
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1answer
270 views

What would be the best way to map similar ngrams

I'm trying to map similar ngrams using Wordnet and synsets. For example: elder brother and older sibling should map to the same ...
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1answer
1k views

Need help in improving accuracy of text classification using Naive Bayes in nltk for movie reviews

I am referring http://www.nltk.org/book/ch06.html for generating a movie review classifier. It considers all words (Nouns, adjectives, verbs..) as part of feature set. I am trying to build a ...
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1answer
297 views

What is “Interpolated Absolute Discounting” smoothing method

I'm asked to implement "Interpolated Absolute Discounting" for a bigram language model for a text. First, I don't know what is it exactly. I guess it is an interpolation between different ngrams (...
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1answer
436 views

I want to make a text extractor for extracting particular type of text from unstructured text data.

I have a lot of data and manually extracted annotations for the text. I was looking for any advice to automate the annotation extraction up to a good level of accuracy. Any advice is welcome.