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2
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1answer
30 views

NLP - How to perform semantic analysis?

I'd like to perform a textual/sentiment analysis. I was able to analyse samples with 3 labels: (positive, neutral, negative) and I used algorithms such as SVM, ...
0
votes
0answers
8 views
1
vote
1answer
41 views

Most Efficient Machine Learning Algorithm for Text Analysis

Looking at Understanding Convolutional Neural Networks for NLP, Convolutional Neural Networks (CNNs) seem to be suitable not only for image recognition, but also for NLP. Are CNNs in general the best ...
0
votes
0answers
11 views

Algorithms for Sentiment Analysis on Entity

I want to make sentiment analysis for an entity which was found, like Google NLP. Entity should have magnitude and score. Please share with me the possible research papers. p/s please not propose ...
0
votes
1answer
27 views

what is the reason behind the bad outputs gained by RNN, LSTM when using GloVe pretrained model in text classification?

the problem is with the results gained for accuracy and f1 afer training our model via pretrained models such as GloVe. when I apply CNN as a classifier, the result are good as follows: ...
0
votes
1answer
39 views

how to input the data set in to a word2vec by keras?

I am new in using word2vec model, as a result, I do not know how I can prepare my dataset as an input for word2vec? I have searched a lot but the datasets in tutorials were in CSV format or just one ...
0
votes
1answer
133 views

Why TF-IDF is working with Sentiment Analysis?

Word2vec looks excellent to me as representation of corpus for sentiment analysis. It has relations between words etc. TF-IDF has only weight of the word how important it is. Results with sentiment ...
1
vote
0answers
52 views

transfer learning with sentiment analysis?

The question is how good and what are some things to keep in mind when sentiment analysis models are tested on different datasets than they are trained on. Say the task is to perform sentiment ...
3
votes
2answers
276 views

Naive Bayes for SA in Scikit Learn - how does it work

Okay so i scrape data from the web on movie reviews. I also have already got my own 'dictionary' or 'lexicon' with words and their labels (1-poor, 2-ok, 3-good, 4-very good, 5-excellent). SO the ...
1
vote
1answer
16 views

how to augument speech sentiment dataset?

I am building an LSTM to recognize if the person is sad, happy, angry or neutral. This is done by feeding-in his the wave of his voice into the network, as a sequence of bytes (each byte is 0-to-255). ...
3
votes
1answer
18 views

Are there trained neural networks, that can distinguish a book's author point from what he stands against?

Let's take some specific book to narrow this example. Atlas shrugged by Ayn Rand. When i'll be saying something like "Ayn Rand's ideas", i'll mean only those, which are clearly stated in the book. ...
1
vote
0answers
18 views

Method of data collection [closed]

I am an undergraduate that is currently working on a project in which I need to collect reviews and comments about mobile phones across several platforms and analyse the data to see if the sentiments ...
1
vote
0answers
23 views

Optimize F-Score only for certain classes, disregard other classes

I have a labeled dataset of product reviews where the label is a rating between 1 and 5 and the review is just text. I use a simple naive Bayes classifier (sklearn) to try to predict a rating given a ...
2
votes
0answers
22 views

Related words extraction in text processing

I'm working on some aspcet based sentiment analysis project applied on some tweets or reviews, so far I've applied all the known preprocessing methods on my training dataset which is an XML file that ...
1
vote
1answer
72 views

How to combine sparse text features with user smile for sentiment classification? [closed]

I am trying to perform sentiment classification task where I have some text and some information about whether the user smiled or not. Now when I use count-vectorizer to convert my text to feature ...
0
votes
0answers
27 views

Recommended Modelling Technique for Influencer Marketing Scenario

I have an approximately 90,000 row dataset that has information of social media profiles which has columns for biography, follower count, language spoken, name, username and the label (to identify ...
0
votes
2answers
139 views

How does one go about feature extraction for training labelled tweets for sentiment analysis?

I am currently working on a sentiment analysis project where the end goal is to try and predict who wins the Nigerian 2019 presidential election. My goal is to create a model that analyses tweets and ...
0
votes
0answers
26 views

Deciding Initial Weights In A Linear Classifier For Sentiment Analysis

I want to build a simple sentiment analysis classifier using logistic regression. I downloaded a list of positive and negative words from cs.uic.edu. There are more than 6000 words both positive and ...
0
votes
0answers
10 views

What is an aspect in opinion mining?

It's quite a challenging task of aspect extraction in the field of opinion mining if you look at the number of related papers. But what is an aspect in the field of opinion mining?
2
votes
2answers
219 views

How to identify sentiment of a given word from a sentence [closed]

Use case is like this: Suppose I have a sentence(review data): ...
2
votes
1answer
85 views

How to add more features in addition to a 100D word vector

I am working on sentiment analysis using tweets text. I am able to build a word vector using Keras text_to_sequence() method with pretrained GloVe embeddings in ...
5
votes
1answer
114 views

Is my understanding of naive bayes correct?

For a task on sentiment analysis, suppose we have some classes represented by $c$ and features $i$. We can represent the conditional probability of each class as: $$P(c | w_i) = \frac{P(w_i|c) \cdot ...
3
votes
2answers
56 views

How to detect if one tweet is agreeing with another

I want to detect tweet text agreement. Suppose someone posts some subjective opinion in twitter. Other users will post reply either agreeing or opposing the original tweet. I want to estimate the ...
1
vote
1answer
196 views

Naïve Bayes and Training Data

I am creating my own implementation of a Naïve Bayes classifier. While it’s behaviour and functionalities are clear to me, my concerns are on the nature of the training and testing data. I acquired ...
0
votes
0answers
28 views

Creating a webpage that trains a neural net

I'm currently studying deep learning. I recently made a sentiment analysis neural net with 85% accuracy, and I plan to increase the accuracy by getting more data from the general public. So the way I ...
1
vote
2answers
60 views

Sentiment analysis using sources other than the IMDB data

I'm curious as to whether the training data for a sentiment analysis tool needs to be specifically geared toward the domain it's being using in. For example, the IMDB movie review data makes sense if ...
0
votes
1answer
123 views

What do all the column names mean in the SentimentAnalysis package's analyzeSentiment() function in R?

If you used the analyzeSentiment function from SentimentAnalysis in R: ...
2
votes
3answers
160 views

Sentiment Analysis: Train Separate Models or Use One for All

We have been tasked with building an in-house sentiment tool and we are going to use it on a multitude of data sources; survey responses, reviews, social listening etc.. This may be obvious to some ...
0
votes
0answers
94 views

No recall and precision in negative class (3-class classification)

I am doing sentiment analysis on Twitter and I came to Doc2Vec to try another set of features (compared to BOW and others) to feed a classifier. However, I came to 0% in recall and precision for the ...
1
vote
0answers
44 views

Feedback Analysis

We are trying to rank the products on the basis of score, score is calculated by analyzing the good or bad feedback about the product. After a lot of research and analysis we came up with this formula ...
0
votes
1answer
493 views

Difference usage of document level, sentence level and aspect level in sentiment analysis

I'm studying about Sentiment analysis. What is the purpose of using Document Level, Sentence Level and Aspect Level? I read this definition in Web Data Mining book by Bing liu. In this book it was ...
1
vote
1answer
61 views

Detecting and confirming sentiments in chat messages

Say I have a spreadsheet of 1000 chat messages that are labeled as happy, sad or funny. What is the best way of detecting if the labels are indeed correct or if they need improvement? How would I go ...
1
vote
1answer
31 views

averaging multiple scores on small chunks of data or raw score on single collated data

I am using IBM watson tool to determine tones(https://tone-analyzer-demo.mybluemix.net/) and personality scores(https://personality-insights-livedemo.mybluemix.net/) on different files.What would be a ...
4
votes
1answer
308 views

Understand clearly the figure: Illustration of a Convolutional Neural Network (CNN) architecture for sentence classification

I am studying the blog: Understanding Convolutional Neural Networks for NLP. It is very good blog. One thing I can't understand clearly about this blog. As the figure Illustration of a Convolutional ...
1
vote
1answer
292 views

Suggest DataSet for Sentiment Analysis on Dutch languages

Can anybody provide any links for any training dataset for sentiment analysis on Dutch languages? I googled trying to find maybe movie review on Dutch but didn't find website with persons review like ...
0
votes
0answers
152 views

Grouping texts into Buckets using R

We are working on a survey where we have a few open-ended answers part from the numeric/categorical responses. Till now we used to categorize these texts into 10-15 buckets manually so that the ...
2
votes
0answers
354 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 ...
3
votes
1answer
437 views

How to collect tweets by geo-location?

I am extracting tweets on brands for sentiment analysis. I am using twitteR package on R. Is there a specific way by which I can only collect tweets from a location ex NY or Paris or Canada etc. I ...
2
votes
1answer
338 views

How do you map phrase IDs to sentence IDs in the Stanford Sentiment Analysis dataset?

I am trying to reproduce results obtained on the Stanford Sentiment Analysis dataset, which contains sentiment annotations for syntactic components of sentences taken from Rotten Tomatoes reviews. ...
0
votes
2answers
176 views

How to check if sentiment analysis is required?

I have a CSV file having a bunch of sentences related to science. Before I do sentiment analysis on the sentences I want to programatically decide whether sentiment analysis is required on the ...
4
votes
1answer
64 views

Range to define emotions

We are capturing emotions as survey responses. We need to assign values for the responses(emotions) for analysis purposes. Is there an optimum range that can be assigned to achieve this? (like from -...
7
votes
1answer
264 views

Extracting individual emails from an email thread

Most of the open source datasets are well formatted i.e each email message is separated well like the enron email dataset. But out in the real world it is highly difficult to separate a top email ...
0
votes
0answers
151 views

interpret sentiment analysis result (naive baye, svm , maxent)

i have done the sentiment analysis for some airline reviews using code from https://datascienceplus.com/sentiment-analysis-with-machine-learning-in-r/ ... but i am facing a problem of interpreting the ...
5
votes
2answers
5k views

Improving accuracy of Text Classification

I am working on a text classification problem, the objective is to classify news articles to their corresponding categories, but in this case the categories are not very broad like, politics, sports, ...
0
votes
1answer
220 views

Can generic data sets be suitable for specific sentiment analysis

I have used the stanford movie review dataset for creating a experimentation of sentiment analysis. Managed to create a basic application on top of Spark using the Naive bayes classification ...
0
votes
1answer
65 views

Best way to fix the size of a sentence [Sentiment Analysis]

I am working on a project that is about Natural Language Processing. However I am stuck at the point which is I have a ANN that has fixed size of input neurons. I am trying to do sentiment analysis ...
2
votes
1answer
684 views

Multi-ouput Classification + Sentiment Analysis

I am facing some issues with a text classification problem and need your help to understand the best way to approach it. The problem statement is as follows: Assume I have a set of sentences ...
1
vote
0answers
94 views

Sentiment analysis with continuous scale for responses

I am trying to create a sentiment analysis system using deep learning (with R). I have a review base of customer reviews which for each review the customer make a mark (from 0 to 10). How can I do ...
4
votes
3answers
754 views

Words to numbers faster lookup

I'm training an LSTM for sentiment analysis on a review dataset downloaded from here. The music review dataset contains about 150K data points (reviews of varying length labelled pos or neg). After ...