text-mining-analysis

There are 23 repositories under text-mining-analysis topic.

  • bj-sodas/milk-the-reviews

    Demo: 利用文本挖掘进行营销分析

    Language:R8201
  • UjjwalSharma1244/Text-mining-In-python

    text mining for beginners

    Language:Jupyter Notebook6102
  • bryanwhiting/gospel_analysis_blog

    Analysis of scriptures and general conference talks by leaders of The Church of Jesus Christ of Latter-day Saints. This project is not affiliated with The Church of Jesus Christ of Latter-day Saints.

    Language:JavaScript52290
  • camara94/Analyse_semantique_latente

    Cet article passe en revue l'analyse sémantique latente (LSA), une théorie de la signification ainsi qu'une méthode pour extraire ce sens de passages de texte, basée sur des statistiques calculs sur un ensemble de documents. LSA comme théorie du sens définit un espace sémantique latent où les documents et les mots individuels sont représentés sous forme de vecteurs. LSA en tant que technique de calcul utilise l'algèbre linéaire pour extraire les dimensions qui représentent cet espace. Cette représentation permet le calcul de la similarité entre les termes et les documents, la catégorisation des termes et documents, et résumé de grandes collections de documents en utilisant procédures automatisées qui imitent la façon dont les humains effectuent des tâches cognitives similaires. Nous présentons quelques détails techniques, divers exemples illustratifs et discutons d'un nombre de candidatures en linguistique, psychologie, sciences cognitives, éducation, sciences de l'information et analyse de données textuelles en général.

    Language:Jupyter Notebook320
  • NMTFcoclust

    Saeidhoseinipour/NMTFcoclust

    Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.

    Language:Python3000
  • camara94/python-text-mining

    In order to be successful in this course, you will need to know how to program in Python. The expectation is that you have completed the first three courses in this Applied Data Science with Python series, specifically Course 1 on Introduction to Data Science in Python and Course 3 on Applied Machine Learning in Python, so that you are familiar with the numpy and pandas Python libraries for data manipulation, and scikit-learn toolkit for machine learning algorithms.

    Language:Jupyter Notebook220
  • cosmoduende/r-holy-books-sentiment-data-analysis

    What's the most positive or negative religion? . Sentiment and Data Analysis of Holy Books with R. Analysis of religious dogmas by exploring their Holy Books (The Bible, The Quran, The Dhammapada, and The Book of Mormon) with R

    Language:R2103
  • huankiki/DataProcBeginner

    NLP Basics and Text Analysis,文本处理和分析

    Language:Jupyter Notebook2200
  • RBMA-Text-Analysis

    laurentfintoni/RBMA-Text-Analysis

    Exploring the RBMA lectures archive using text analysis and mining, with a focus on comparing Python and R processes and LDA-based topic modeling.

    Language:HTML2100
  • shuiqiaoyang/Discovering-Topic-Representative-Terms-for-Short-Text-Clustering

    Discovering Topic Representative Terms for Short Text Clustering

    Language:Python2111
  • Healpler/ArchwareExtraction

    [CYBERSECURITY PROJECT] As an IT student and a cybersecurity thesis assistant in the French laboratory IRISA, I searched how to extract the vulnerability assets from CAPEC. I used R language to do XML extraction and processes of VA extraction. A BASH application has been written and allows to use this tool thanks a command prompt (Linux Distributions only at the moment). A Web application has been written to find some vulnerabilities before this cybersecurity project.

    Language:R1100
  • rajathpatel23/amazon_review_analysis

    Text mining on Amazon review to perform sentiment analysis

    Language:Jupyter Notebook0101
  • royadityak/DataInsights

    Text mining and analytics repository

    Language:Jupyter Notebook0100
  • shreyas1701/QVC-Data-Analysis

    Performed Statistical Analysis and implemented data mining techniques on large business data sets, to identify patterns. Analyzed the transactional, customer, product and forum data, to determine correlations. Developed Predictive Model using Regression analysis to predict the future sales of products. Text Mining analysis was done on the user comments to understand the user opinion on the products

    Language:Jupyter Notebook0201
  • shubhankarm01/Applied-data_science-with-python-specialization

    All five courses materials such as practice notebooks, assignments (projects) and certificates

    Language:Jupyter Notebook0100
  • chavhan/TextMining

    This program demonstrate the text mining concepts on twitter and amazon review and tweets.

    Language:R201
  • EGjika/Text-Analysis-NASA-dataset

    This work is a text analysis in R based on the NASA data found in: https://data.nasa.gov/data.json . The text analysis is based in different steps starting with lexicons. Further investigating positive and negative sentiments on a world cloud . Also, correlations between words are analysed.

  • elint-tech/wordmaze

    Words and textboxes made amazing.

    Language:Python12
  • koushik16/Naive-Bayes-on-Multi-Language-Text

    Implementation of Naive Bayes for text classification across multiple languages, focusing on natural language processing and multilingual text analysis.

    Language:Python20
  • krmiddlebrook/Topic-Modeling-Seinfeld

    Topic modeling and sentiment analysis of the Seinfeld scripts from all 9 seasons

    Language:HTML001
  • preetham-salehundam/Text-Mining

    Text Mining using 20 mini news groups

    Language:HCL241