porterstemmer | An implementation of the Porter stemming | Natural Language Processing library

 by   aztek Scala Version: Current License: MIT

kandi X-RAY | porterstemmer Summary

kandi X-RAY | porterstemmer Summary

porterstemmer is a Scala library typically used in Artificial Intelligence, Natural Language Processing applications. porterstemmer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An implementation of the Porter stemming algorithm in Scala
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              porterstemmer has a low active ecosystem.
              It has 9 star(s) with 6 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of porterstemmer is current.

            kandi-Quality Quality

              porterstemmer has 0 bugs and 0 code smells.

            kandi-Security Security

              porterstemmer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              porterstemmer code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              porterstemmer is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              porterstemmer releases are not available. You will need to build from source code and install.

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            porterstemmer Key Features

            No Key Features are available at this moment for porterstemmer.

            porterstemmer Examples and Code Snippets

            No Code Snippets are available at this moment for porterstemmer.

            Community Discussions

            QUESTION

            Cannot POST /api/sentiment
            Asked 2022-Apr-09 at 12:40

            I'm testing the endpoint for /api/sentiment in postman and I'm not sure why I am getting the cannot POST error. I believe I'm passing the correct routes and the server is listening on port 8080. All the other endpoints run with no issue so I'm unsure what is causing the error here.

            server.js file

            ...

            ANSWER

            Answered 2022-Apr-09 at 12:04

            QUESTION

            append values to the new columns in the CSV
            Asked 2022-Mar-20 at 11:20

            I have two CSV, one is the Master-Data and the other is the Component-Data, Master-Data has Two Rows and two columns, where as Component-Data has 5 rows and two Columns.

            I'm trying to find the cosine-similarity between each of them after Tokenization, Stemming and Lemmatization and then append the similarity index to the new columns, I'm unable to append the corresponding values to the column in the data-frame which is further needs to be converted to CSV.

            My Approach:

            ...

            ANSWER

            Answered 2022-Mar-20 at 11:20

            Here's what I came up with:

            Sample set up

            Source https://stackoverflow.com/questions/71545628

            QUESTION

            How to solve TypeError: iteration over a 0-d array and TypeError: cannot use a string pattern on a bytes-like object
            Asked 2022-Mar-17 at 14:18

            I am trying to apply preprocessing steps to my data. I have 6 functions to preprocess data and I call these functions in preprocess function. It works when I try these functions one by one with the example sentence.

            ...

            ANSWER

            Answered 2022-Mar-17 at 14:18

            First problem that can be identified is that your convert_lower_case returns something different than it accepts - which could be perfectly fine, if treated properly. But you keep treating your data as a string, which it no longer is after data = convert_lower_case(data)

            "But it looks like a string when I print it" - yeah, but it isn't a string. You can see that if you do this:

            Source https://stackoverflow.com/questions/71513259

            QUESTION

            Python read in collection of xml files to df or dict
            Asked 2022-Feb-03 at 13:11

            I have a collection of xml files that I would like to read in to either a dataframe (df) or a dictionary (dict). Each xml file has the same format with regard to the classes.

            ...

            ANSWER

            Answered 2022-Feb-03 at 13:11

            You can use some library such as xmltodict or write your own parser. From xmltodict readme:

            Source https://stackoverflow.com/questions/70971724

            QUESTION

            Why the the total number in confusion matrix not same as the data input?
            Asked 2021-Dec-17 at 01:04

            Why the total confusion matrix does not have the same number os samples as the dataset? The dataset contains 7514 but the total at confusion matrix not exceed 2000.

            Here is the code:

            ...

            ANSWER

            Answered 2021-Dec-16 at 13:43

            After you split data using train_test_split, you are left with 2255 samples in the test portion which is almost equal to 7514 X 0.3, then you determined the confusion matrix using this portion (test-portion). Now everything should make sense.

            Source https://stackoverflow.com/questions/70377385

            QUESTION

            Porter Stemmer algorithm not working through the sentences row by row
            Asked 2021-Dec-05 at 13:31

            I am trying to run sentences through the Porter Stemmer algorithm, however am getting and error: AttributeError: 'list' object has no attribute 'lower'. can anyone assist, as I am not able to identify the problem:

            Here is my input:

            ...

            ANSWER

            Answered 2021-Dec-05 at 09:04

            The word_tokenize function returns a list of tokens. You therefore need a second for-loop or a list comprehension:

            Source https://stackoverflow.com/questions/70232735

            QUESTION

            How to get a nested list by stemming the words inside the nested lists?
            Asked 2021-Dec-05 at 04:37

            I've a Python list with several sub lists having tokens as tokens. I want to stem the tokens in it so that the output will be as stemmed_expected.

            ...

            ANSWER

            Answered 2021-Dec-05 at 04:37

            You can use nested list comprehension:

            Source https://stackoverflow.com/questions/70231507

            QUESTION

            PySpark NoneType in data despite filtering
            Asked 2021-Nov-29 at 16:45

            I am using PySpark for the first time and I am going nuts. It seems like the None values are not filtered from my df despite the filter function.

            ...

            ANSWER

            Answered 2021-Nov-29 at 16:45

            The exception could be from the PorterStemmer.stem()(https://github.com/nltk/nltk/blob/develop/nltk/stem/porter.py#L658). You can filter on r["content"] == None before applying the map.

            Source https://stackoverflow.com/questions/70153706

            QUESTION

            how to get a list of words after cleaning the data with stemming
            Asked 2021-Oct-24 at 06:55

            Currently, I get just one row. How can I get all the words? Currently, I have a column of words. The problem in the stemmer. it gives only one row instead of all words.

            My purpose is to clean the data and print all words separated by commas.

            input: word1,word2,word3,word4,word5 in each row in the column df[tag]

            and the output will be a long list with all the values word1,word2,word3,word4,word5,word6,word7....

            ...

            ANSWER

            Answered 2021-Sep-23 at 16:59

            Notice -

            I decided to clean the special characters with regex, you can change the method if you wish.

            Moreover, please look at the apply function of pandas that takes each row and executes the Clean_stop_words function.

            Source https://stackoverflow.com/questions/69301927

            QUESTION

            KeyError: 53 when using re module
            Asked 2021-Oct-17 at 09:20

            I was trying to substitute every thing else with a blank using the code :

            ...

            ANSWER

            Answered 2021-Oct-17 at 09:20

            The problem is that I was working with a csv file and I dropped some rows but I didn't reset the index, thus when we reach the iteration nb 53 i.e the index 53 we don't find it because it was dropped.

            Source https://stackoverflow.com/questions/69602779

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install porterstemmer

            You can download it from GitHub.

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