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Questions tagged [sentiment-analysis]

Sentiment analysis refers to categorizing some given data as to what sentiment(s) it expresses. Usually, it refers to extracting sentiment from a text, e.g. tweets or blog posts.

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1answer
10 views

How to extract sub sentences from sentence mentioning a particular subject?

I am trying to solve an NLP problem. For a given sentence like : "The Pasta was delicious, the Pizza was average" I want to extract the sentiment attached to food items. Having built my own NER ...
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2answers
18 views

What does Conv1d do in a sentiment analysis?

I am doing some study on https://www.kaggle.com/anshulrai/cudnnlstm-implementation-93-7-accuracy I understand we need LSTM to capture the sequence of words in the sentience, but I am not quite ...
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19 views

Analyzing Sentiments of Financial News related to a Company

I'm trying to build a model which gives me the sentiments of the Financial News related to a company and I want to predict the stock price accordingly. But the major problem that I'm facing is ...
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2answers
51 views

Using LSTM for binary text Classification, getting almost same accuracy at each epoch

I am doing Twitter sentiment classification. For that I am using LSTM with pretrained 50d GloVe word embeddings(not training them as of now, might do in future). The tweets are of variable lengths ...
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Where can I get an untokenized version of GLUE's SST-2 dataset?

On the GLUE faq, they say: Similarly, for SST, the data provided is already tokenized. We're working on obtaining a version that is not tokenized. Feel free to train on other distributions of ...
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30 views

Sentiment Analysis: using a dataset (IMDB reviews) to train a neural-net and using it to predict entirely different datasets (Political articles)

We need to analyse a lot of articles relevant to political instability in a given country (things like the possibility of a coalition / a snap election etc). The problem is that I could not find any ...
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1answer
55 views

How to justify the usage of 200 dimensions in word vectors instead of the 300 dimensions?

When employing machine learning methods in NLP, most of studies use 200 or 300 dimensional vectors. 300 dimensional embeddings carry more information and this, therefore, is considered to produce ...
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List of CNN for Emotion/Sentiment recognition on images with performance on main datasets (IAPS, GAPED, EmoPics, NAPS)

There are more and more databases of pictures classified or rated with emotions. For instance, I know of 4 databases (IAPS, GAPED, EmoPics, NAPS) rating pictures on 2 dimensions: Valance (positive vs ...
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24 views

Sentiment Analysis for Q&A based reviews

I'm a self-learning ML enthusiast and I recently started learning NLP and performing Sentiment Analysis on imdb, yelp, amazon datasets(using Python). I came across a dataset where the reviews were in ...
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1answer
40 views

measuring flip-flop behaviour across several topics

I'm trying to analyze a behavior called "sentiment flipping" of users in a dataset, but I'm not able to step on. Let's suppose that I have two groups of users, say them good and bad users. My ...
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18 views

Approach for sentiment analysis of Flemish Twitter data (politics)

I have collected about 280.000 tweets posted by Flemish (Dutch) people concerning the previous elections. I used the twitter API and filtered for mentions of know political parties and politicians. ...
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119 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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27 views

using dataset to classifying and labelling another unlabeded dataset

I collect a collection of posts from Facebook and I use a published sentiment datset to labeling my collected dataset. is this a right technique and what its name is this transfer-learning ?
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96 views

Combining heterogeneous data sets for more powerful machine learning

Suppose we have two data sets of movie reviews; one from IMDB and one from Rotten Tomatoes (RT). Each entry has a written-review and a score attached to it. The concatenated datasets might look like ...
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17 views

Testing accuracy has very high accuracy metrics on epoch 1 but decreases rapidly on following epochs

For a binary classification problem my testing accuracy metrics are very high on epoch 1 but it decreases rapidly on further epochs, training trends are similar with epoch 1 having low accuracy ...
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1answer
38 views

Emotional tension score in sentences

I am beginner in natural language processing and my goal is to find a way to score sentences based on their emotional tension. More specifically, I would like to know to what degree a sentence ...
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29 views

Twitter Dataset

I have found the following dataset, apparently it is the largest tweet dataset: https://www.kaggle.com/kazanova/sentiment140 However, I am looking for a dataset of tweets, with columns containing: ...
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1answer
161 views

Using doccano for Aspect Based Sentiment Analysis annotation

Currently looking for a good tool to annotate sentences regarding aspects and their respective sentiment polarities. I'm using SemEval Task 4 as a reference. The following is an example in the ...
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1answer
141 views

How to classify neutral sentiments using BERT

We can do text classification as positive and negative as mentioned in below notebook. But is there any way to classify neutral sentiment also? https://colab.research.google.com/github/google-...
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1answer
31 views

What's the fastest way to do a text analysis over user reviews on a website for a beginner? [closed]

I want to analyse user reviews for certain products as part of a research project without having to learn analytics from scratch, as my requirement is temporary. I need to do the following: The user ...
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1answer
29 views

Where can I learn the complete mathematics involved in LDA?

I have come across Latent Dirichlet Allocation (LDA) on multiple occasions while reading about sentiment analysis and recommender systems. Where can I find good reading material which explains the ...
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2answers
135 views

LDA for sentiment analysis

As far as I understand it, LDA works by assuming that a corpus was written by a set of topics ands words corresponding to that topic by a specific distribution. I'm however not enterely sure what the ...
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1answer
66 views

Why using a frozen embedding layer in an LSTM model

I'm studying this LSTM mode: https://www.kaggle.com/paoloripamonti/twitter-sentiment-analysis They use a frozen embedding layer which uses an predefined matrix with for each word a 300 dim vector ...
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26 views

Training on heterogeneous dataset for sentiment analysis

I have a dataset of wine reviews, the dataset is consisted of wine reviews(text representation) and other features as score, age, flavors... Wherever the wine is good or not, a score(target) from 0 to ...
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1answer
562 views

How to label a dataset for Machine Learning?

I have a collection of educational dataset. The dataset consists of a username and their review for the course. I want to analyze the data for sentiment analysis. How can I label the data to train ...
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71 views

LSTM input and output for sentiment analysis

I'm studying this LSTM network: https://www.kaggle.com/paoloripamonti/twitter-sentiment-analysis ...
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82 views

CNN accuracy and loss doesn't change over epochs for sentiment analysis

I am performing text classification as Good [1] or Bad [0]. The texts are preprocessed and converted to Vectors using Google Word2Vec. Further CNN architecture is used for training. I have roughly ...
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What kind of test should I use to determine correlation between the value of a commodity and consumer sentiment?

I’m currently studying data science and am trying to apply my skills to a small project. Basically, I’ve collected data about a commodity’s value over two time periods (30 data points each in 4 week ...
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18 views

TDIF toarray() returns an array of zeros

radius = tvec.fit_transform(test_df.Tweet_lemmatized) c = tvec.get_feature_names() print(radius) This returns the correct values, but when I try to convert it to ...
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2answers
62 views

Sentiment Analysis Datasets

I am looking for sentiment analysis data, mostly customer product review. I found a lot of research places provide large size of datasets, but many of them are outdated. I want to get more up-to-date ...
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23 views

Customer Demographic Data

I am looking for two types of data Demographic data Is there a vendor or data source that could provide demographic information of customers who buy a product? It doesn't include personal ...
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1answer
278 views

prepare email text for nlp (sentiment analysis)

I have text of emails, which also contains disclaimers, phone numbers, email addresses, file attachment names, addresses, greetings etc. At the moment I blindly pass this text through an OOTB ...
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1answer
198 views

Confidence Score For Trained Sentiment Analyser Model

I have trained a text based sentiment analysis model, using SciKit-learn and custom data. I have the model ready and it works fine in predicting a text to a class (Positive or Negative or Neutral). I ...
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104 views

Sentiment analysis with nltk

I'm studying sentimental analysis with python library nltk, following this example: ...
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1answer
56 views

Weights initialization in Neural Network

I was viewing code for custom neural network for sentiment analysis. It had 3 layers (1 hidden layer). I am more concerned with weight initialization for the layers ...
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1answer
92 views

Kmeans cluster validation when I have labeled test data

I'm trying to implement the unsupervised k-means algorithm for sentiment analysis of imdb movie dataset created by stanford. The steps that I followed is : 1) Load the comments 2) Apply tokenization ...
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1answer
24 views

How dictionary is created when making dictionary-based text classifications? How accuracy of values are determined?

I'm trying to create sentimental analysis of about 1 million twits I've collected from Twitter. I've found a lot of dictionary related to text categorization. The dictionaries I found were rated words ...
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1answer
129 views

Sentiment analysis for multiple entry in one text

I would like to do sentiment analysis on a set of financial news from the S&P 500 for given entities (organization names). However, each news (rows in my dataset) may have more than one entity and ...
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1answer
44 views

long short term memory in sentiment analysis

I am trying to understand how can long short term memory be used in detecting emotions in dialogues. I would like to know if there are some good tutorials for beginners that I can follow. I watched a ...
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0answers
254 views

Sentiment Analysis Naive Bayes vs Logistic Regression [closed]

I am doing some sentiment analysis on Twitter data, and I wanted to compare a Naive Bayes Classifier and a Logistic Regression classifier as to if their performance is affected by spell checking the ...
7
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1answer
186 views

On a multi lingual sentiment corpus

I am looking to compile a sentiment corpus for news articles in multiple languages (~100k per lang. for a machine learning experiment) where each article is labeled positive, neutral, or negative. I ...
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1answer
2k views

any efficient way to find surrounding adjective/verbs with respect to the target phrase in python [updated]?

I am doing sentiment analysis on given documents. My goal is to find out the closest or surrounding adjective words with respect to the target phrase in my sentences. I do have an idea how to extract ...
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1answer
32 views

Visualising a stream of emotions

I have a stream of emotions (from some audio recordings) extracted by a speech emotion recogniser. My questions now are how to best display these emotions to the end users? What is the best way to ...
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1answer
43 views

Sentimental Analysis on Twitter Data [closed]

What are best ways to perform sentimental analysis on Twitter Data which I dont have labels for?
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3answers
420 views

Why do we have to remove most common words for text analysis?

I am trying to do sentiment analysis the task is to classify racist tweets from other tweets. And I have read many articles and many have mentioned to remove the most common 10 words from the column ...
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3answers
3k views

What is parts of speech technique in sentiment analysis?

In an article, I saw Sentiment Analysis using Parts Of Speech(POS) technique. When I searched I got some paper on POS but I couldn't understand what POS basically is. Though I am new to sentiment ...
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1answer
140 views

Integration of Sentiment analysis in CRM

What is the process for integrating sentiment analysis in a CRM? What I am searching for is a system which analyzes the customer comments or reviews using the CRM and finds out the customer sentiment ...
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0answers
24 views

How do I perform Sentiment Analysis on Tweets in the following pattern:

I have tweets obtained based on matches (football) before the match begins. I have tweets which specify a team will win 3-1 and so on which are easily analyzed using regular expressions. I am facing ...
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1answer
3k 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, ...
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2answers
97 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 ...