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15
votes
5answers
50k views

Sentence similarity prediction

I'm looking to solve the following problem: I have a set of sentences as my dataset, and I want to be able to type a new sentence, and find the sentence that the new one is the most similar to in the ...
11
votes
2answers
10k views

How do you apply SMOTE on text classification?

Synthetic Minority Oversampling Technique (SMOTE) is an oversampling technique used in an imbalanced dataset problem. So far I have an idea how to apply it on generic, structured data. But is it ...
7
votes
1answer
4k views

How to use TFIDF vectors with multinomial naive bayes?

Say we have used the TFIDF transform to encode documents into continuous-valued features. How would we now use this as input to a Naive Bayes classifier? Bernoulli naive-bayes is out, because our ...
6
votes
1answer
5k views

Which type auto encoder gives best results for text

I did I couple of examples for auto encoders for images and they worked fine. Now I want to do an auto encoder for text that takes as input a sentence and returns the same sentence. But when I try to ...
5
votes
2answers
7k views

Text similarity using RNN

Data set contains records of short text, typically a sentence. The goal is to find duplicated records and similar records. Currently, I have tried R package 'text2vec', the glove word vectors and the ...
5
votes
1answer
39 views

Data transformations in hierarchical classification

I am building a hierarchical text classifier using the Local Classifier Per Parent Node (LCPN) approach with the 'siblings' policy as described in the PDF: E.g. if we have the classes 1.1, 1.2, 2.1, ...
4
votes
2answers
176 views

Automatic annotation of medical text data

I have a dataset of 30000 whole-genome sequence analysis. For each sample I have a text description that does not follow any fixed format. What I want, is an annotation of each sample indicating the ...
4
votes
4answers
184 views

Extract 2 pieces of information from a string - what to use?

First of all, I am a complete newbie in regard to data science and I am not asking for the complete solution but some guidance as to what I should read up to achieve my task (what algorithms, ...
3
votes
2answers
71 views

Multiclass classification of textual data

I have a problem statement in which I have to classify the text data into various classes, but the training data is very less (250-300 data points for 4 classes). I am confused about what approach to ...
3
votes
1answer
110 views

How to classify support call texts?

I have a spreadsheet with thousands of records regarding support requests. Case number, Issue description, etc. Our goal is to classify these records in many categories in order to assign them the ...
3
votes
2answers
561 views

Bidirectional Encoder Representations from Transformers in R

Can anybody suggest to me, where I can find example code for R language for BERT neural network for text mining tasks. All I can see are python examples, and I need R. https://github.com/google-...
3
votes
1answer
4k views

How does ,the Mutlinomial Bayes's alpha parameter, affects the text classification task?

I would like to know how the alpha parameter, in Multinomial Bayes, affects the text classification task. I know that this parameter is correlated to the algorithm'...
3
votes
2answers
881 views

How can I group texts with similar content together?

I need to find a solution to group a corpus of texts according to document similarity. Premising I have no experience in ML - only a few readings - I'd like to know if calculating the tf-idf on each ...
3
votes
2answers
1k views

Word analysis in Python

I have a list of documents which look like this: ["Display is flickering"] ["Battery charger is broken"] ["Hard disk is making noises"] These text documents are ...
3
votes
1answer
2k views

Is there any clear tutorial for how to use AutoEncoders with text as input

I have a pandas dataframe that describes some fields of the register. I have used one hot encoding to encode the feature vectors that are not numbers. Finally my dataset now has 4000 rows * 4 columns. ...
3
votes
1answer
2k views

Doc2vec to calculate cosine similarity - absolutely inaccurate

I'm trying to modify the Doc2vec tutorial to calculate cosine similarity and take Pandas dataframes instead of .txt documents. I ...
3
votes
0answers
102 views

How to implement hierarchical labeling classification?

I am currently working on task of eCommerce product name classification, so I have categories and subcategories in product data. I noticed that using subcategories as labels delivers worse results (84%...
3
votes
1answer
3k views

Choosing the right parameters to train a Tf-Idf vectoriser

I'm very new to the DS world, so please bear with my ignorance. I'm trying to analyse user comments in Spanish. I have a somewhat small dataset (in the 100k's -- is that small?), and when I run the ...
2
votes
1answer
4k views

One hot encoding at character level with Keras

I am reading Chollet's book on deep learning at the moment and in the NLP chapter he says: ...
2
votes
1answer
40 views

How to separate words that are together in a large data set

in twitter data i came across words that are glued together like 'boycottbears' i want them as 'boycott' 'bears' 'man' i tried this but this is slow ...
2
votes
1answer
38 views

What is the best approach for classifying non-English text

What would be the best approach for classifying non-English (Sinhala / Tamil) text? Currently I use Fasttext. Are there any better options? I want to classify user questions into chatbot intents. ...
2
votes
2answers
501 views

Accuracy reduces drastically when using TruncatedSVD with hashingvector

I have around 0.8 million product description with categories. There are around 280 categories. I want to train a model with given dataset so that in future I can predict Category for the given ...
2
votes
3answers
51 views

Match a two items from two different receipts

I have two different invoices or receipts. One is a Purchase order one is something like a receipt(acknowledgement). Suppose I have ordered(PO) Wine: White Wine Red Wine Rose Wine And I receive ...
2
votes
1answer
85 views

CNN to many outputs

I have a dataset with 100 columns (categorial one-hot encoded) and 1 column with text data (simple sentences) and i want to build a neural network to arround 380.000 outputs labels. I have no idea ...
2
votes
1answer
61 views

Changing multiple models into 1 model

I am working for a recruitment company on developing machine learning algorithms to automatically classify job applicants as either to be interviewed or not be interveiwed. The data is highly ...
2
votes
2answers
370 views

Discovering string “motifs” in python

I have millions of strings from different sources that tend to exhibit some common patterns. Is there a way to extract these common motifs? For example, in a list (of millions) that includes strings ...
2
votes
1answer
2k views

What are some function/package in R to find similarity of individual words not in the context of sentences?

what are some function/package in R/python to find similarity of individual words not in the context of sentences? As a novice, I searched and found methods like adist, cosine similarity, word2vec, ...
2
votes
1answer
51 views

Why do probabilities sum to one and how can I set optimal threshold level?

I am working on a text classification use case. The training data has two classes, so the XBBoostClassifier and onevsrest model is classifying the test data into either of the two classes. But my ...
2
votes
1answer
37 views

How to extract keywords from a list of URLs?

I have a bunch of URLs in a text file like- ...
2
votes
1answer
17 views

Classifying one particular class of documents from the rest

I am trying to build a classifier that would classify if a document is a document about sports or not. I have enough samples of sports document to train a classifier on, however I can't imagine how I ...
2
votes
2answers
427 views

How to extract and classify data from a column in excel?

I have a column in an Excel sheet that contains a lot of data separated by || delimiters. The data can be classified to some classes like Entity, IFSC codes, ...
2
votes
0answers
661 views

What is the minimum number of times a word needs to appear in word2vec training corpus for quality results?

When training a word2vec model with, eg, gensim, you can specify the minimum times a word needs to be seen (with the parameter min_count). The default value for this seems to be 5. Are there any ...
2
votes
1answer
199 views

Why is spam detection a classification problem and not a class modelling problem

Trying to get my feet wet with machine learning on text. The most common dataset I've seen in this space is the sms dataset with classes ham and spam. And the most common and successful approach ...
1
vote
3answers
4k views

Grouping of similar looking text

I have a data frame which has two columns, "Title" and "Description". The title column has a bunch of titles related to clinical lab tests. Unfortunately, most of the titles are a repeat of the same ...
1
vote
4answers
92 views

Is it OK to train a binary classifier using all the extremely imbalanced data if the majority class is negative?

I'm training a neural network as a binary classifier for text classification. The data is very imbalanced, where the ratio of TRUE:FALSE is approximately 100:10000 Intuitively, it feels like using ...
1
vote
2answers
41 views

Grouping company information

I have 3 different datasets with company information, in all of them I have company name, but is not perfect: For example: Dataset A: Company name: Facebook Dataset B: Company name: Facebook, Inc ...
1
vote
2answers
2k views

Text similarities

I have a list of E-mails, and I'm trying to find "similar" E-mails. For example: DanB@gmail.com DanB1@gmail.com Dan12B@yahoo.com will be "similar" for me. I'll be happy to hear if ...
1
vote
1answer
115 views

How to add incorporate meta data into text classification? [closed]

I have a collection of statements which I need to classify into 5 classes. Each statement have meta data in different columns: Author|Editor| date of release| statement | Class How can one use the ...
1
vote
1answer
565 views

Text processing

I am completely new to analyze cluster texts, I'm using Goodreads API to get Books synopsis. My goal is to group similar books, for example: Politics Music Biographies etc... While Goodreads provide ...
1
vote
1answer
63 views

Technical term for using regular expressions to classify text?

Background I'm helping a researcher programmatically classify ~123,000 US Government court case files stored in plaintext. He wants to classify the claims as either having been "approved", "denied", ...
1
vote
1answer
17 views

Complete IPv4 Address Space

I know this was asked before, but I didn't get a definitive answer. I am trying to download a simple 17GB .txt file that contains the entire IPv4 address space. There must be a file like this already ...
1
vote
2answers
61 views

Input data of variable length - two scenarios

I'm trying to figure out how I could train a neural network with inputs that have variable length. This issue comes up in the following 2 scenarios I'm trying to solve. Scenario 1: I have a long list ...
1
vote
1answer
34 views

Can I treat text review analysis as a regression problem?

I am playing with a dataset that contains tripadvisor restaurant reviews and their labels (either 1, 2, 3, 4 or 5 stars). Initially I was thinking of using it as a classification problem, applying ...
1
vote
1answer
515 views

Unsupervised clustering of unstructured text by document type

I have 100,000+ PDF healthcare documents from which I have extracted text. I would like to cluster these documents by type (e.g. pathology report, doctor visit notes, prescription orders, etc.) The ...
1
vote
1answer
176 views

Dense text representations

I did a lot of Googling but could not find a paper that presents an algorithm which will produce dense feature vectors for short text input. I would be happy to find feature extraction algorithm which ...
1
vote
0answers
11 views

Extract editing history from Microsoft Word documents? [closed]

Is there a tool to computationally extract the editing history of a given Microsoft Word Document? I have been using Apache Tika, but can only extract the last version of the text, and meta-...
1
vote
3answers
24 views

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 ...
1
vote
0answers
20 views

how to resize image without changing DPI in opencv for detecting text and feeding into OCR?

i resized the image using open cv and it changed the dpi of the image from 300 dpi to 90 dpi . What is the correct way to resize image without changing its dpi in open cv . if we feed the resized ...
1
vote
2answers
25 views

Text classification for data with multiple labels per observation

I have a dataset of tweets that has been labeled by multiple people. So the columns look something like: Tweet_ID, Coder_1_Classification, Coder_2_Classification, etc. The idea is to build a tweet ...
1
vote
0answers
21 views

PDF/Text to csv table

I have very little python experience but I have been wanting to get into data science and thought I would start with pdf/text mining. Because it's something I need right now anyway. I have a list of ...