I plan on using Sentiwordnet 3.0 for Sentiment classification. Could someone clarify as to what the numbers associated with words in Sentiwordnet represent? For e.g. what does 5 in rank#5 mean? Also for POS what is the letter used to represent adverbs? Im assuming 'a' is adjectives. I could not find an explanation either on their site or on other sites.
Using Sentiwordnet 3.0
6.9k Views Asked by Amal Antony At
1
There are 1 best solutions below
Related Questions in MACHINE-LEARNING
- How to cluster a set of strings?
- Enforcing that inputs sum to 1 and are contained in the unit interval in scikit-learn
- scikit-learn preperation
- Spark MLLib How to ignore features when training a classifier
- Increasing the efficiency of equipment using Amazon Machine Learning
- How to interpret scikit's learn confusion matrix and classification report?
- Amazon Machine Learning for sentiment analysis
- What Machine Learning algorithm would be appropriate?
- LDA generated topics
- Spectral clustering with Similarity matrix constructed by jaccard coefficient
- Speeding up Viterbi execution
- Memory Error with Classifier fit and partial_fit
- How to find algo type(regression,classification) in Caret in R for all algos at once?
- Difference between weka tool's correlation coefficient and scikit learn's coefficient of determination score
- What are the approaches to the Big-Data problems?
Related Questions in NLP
- command line parameter in word2vec
- Annotator dependencies: UIMA Type Capabilities?
- term frequency over time: how to plot +200 graphs in one plot with Python/pandas/matplotlib?
- Stanford Entity Recognizer (caseless) in Python Nltk
- How to interpret scikit's learn confusion matrix and classification report?
- Detect (predefined) topics in natural text
- Amazon Machine Learning for sentiment analysis
- How to Train an Input File containing lines of text in NLTK Python
- What exactly is the difference between AnalysisEngine and CAS Consumer?
- keywords in NEGATIVE Sentiment using sentiment Analysis(stanfordNLP)
- MaxEnt classifier implementation in java for linguistic features?
- Are word-vector orientations universal?
- Stanford Parser - Factored model and PCFG
- Training a Custom Model using Java Code - Stanford NER
- Topic or Tag suggestion algorithm
Related Questions in WORDNET
- How can I make a hash table for all relations in wordNet and cPickle them?
- Extract word from a list of synsets in NLTK for Python
- Using WordNet-Affect with NLTK
- jwnl unable to install database
- How to tag monosemous words
- Is RiTa framework supporting Android?
- How to find the path length between 2 senses?
- Word of a particular domain from Wordnet
- lemmatize plural nouns using nltk and wordnet
- Implement a semantic web search engine using Arabic wordnet
- Find Synonyms using Arabic Wordnet in java
- Writing a function that lemmatizes all words in a sentence by considering their POS tags
- Python - WordNet NLTK KeyError
- How to count noun's hyponyms that does not have hyponyms with NLTK and WordNet?
- What is pos of `r` or `s` in Wordnet via NLTK
Related Questions in SENTIMENT-ANALYSIS
- Naive Bayes Sentiment Analysis of Facebook Post
- Amazon Machine Learning for sentiment analysis
- keywords in NEGATIVE Sentiment using sentiment Analysis(stanfordNLP)
- Stanford Parser - Factored model and PCFG
- Lazy parsing with Stanford CoreNLP to get sentiment only of specific sentences
- How to capture iterated output variable into list for analysis
- How to separate text from twitter streaming JSON responses and run analysis on text with python?
- Word2Vec Sentiment Classification with R and H2O
- How to decode ascii from stream for analysis
- How to pass each row as an argument to R script from Tableau calculated field
- Is there way to influence AlchemyAPI sentiment analysis
- Function decode_short_URL from twitteR package not working
- How can I extract 2-4 words on each side of a specific term in R?
- Pre-processing before running sentiment analysis
- Why isn't my classifier predicting any positive classes?
Related Questions in SENTI-WORDNET
- Accuracy of lexicon-based sentiment analysis
- No module named sentiwordnet error python
- AttributeError: 'function' object has no attribute 'lower'
- Find similarity of a sentence with 6 basic emotions using wordnet
- Sentiment score of a complete message using Python NLTK
- Extract positive and negative words from text?
- Using Sentiwordnet with TextBlob
- How to get first synset from list of Sentiwordnet?
- AttributeError: 'tuple' object has no attribute 'lower' sentiword
- NameError: name 'synset' is not defined
- Using Sentiwordnet 3.0
- Usage of nltk Sentiwordnet with python
- Splitting synset and removing duplicate words
- sentiWordNet in rapidminer
- to find the opinion of a sentence as positive or negative
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
I found the answer. Seems like the number notation comes form Wordnet. It represents the rank in which the given word is commonly used. So rank#5 refers to the context in which rank is used 5th most commonly. Similarly rank#1 refers to the meaning of rank most commonly used. The following are the POS notations:
n - NOUN
v - VERB
a - ADJECTIVE
s - ADJECTIVE SATELLITE
r - ADVERB