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Clustezer v-5.0.20240601
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Text clustering: Clustezer
Identifies the main topics or themes of a text (text clustering)
Clustezer: the app for the automatic extraction of the main topics of a text or web page through the auto-classification of the keyphrases contained in the text. To obtain the summary of topics and related keyphrases, enter the text or the address of the page to be processed, select the language (the app supports texts and websites in: Italian, English, German, Spanish, Russian, Arabic and many other languages) and the number of expected topics (clusters). You will get the summary of the topics with the relative sets of related phrases found in the processed text.
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Features
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| 🔝 AI Powered | Sums up text with Top AI |
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| 💪 Long texts | NelSenso.Net apps support text up to 32000 characters long. |
| 🌐 Multilingual | 25 Supported Languages |
| 💲 Price | 100% Free |
| 🔒 Privacy | None of the processed texts are stored or shared with anyone. We value your privacy. |
Faqs
Clustezer is the app that uses text clustering algorithms to group key phrases of a text or web page into self-determined thematic clusters (topics).
Using text clustering developed by Clustezer, it is possible to analyse a text or web page and identify the main topics or characters (cluster topics) and their related phrases by topic. For each cluster, the representative topics are given the most semantically relevant terms within the identified cluster. If two different clusters report the same representative terms (topic) then the processing can probably be repeated by decreasing the number of expected topics/clusters.
The best results are obtained by trying to cluster pages of generalist portals (dealing with different topics), online news reports, or even log files to group, for instance, the main types of exceptions occurring in a web server, in which case, in addition to natural language terminator characters, it is possible to specify specific keywords that can facilitate the identification of specific clusters.
Start with the preset argument number value, if you notice in the results that two or more clusters have the same name (cluster name) then you can repeat the processing with a smaller number of clusters in order to merge those with a common name (argument). On the contrary, if you notice elements (phrases) within a cluster that you think might constitute a separate cluster, repeat the processing by increasing the number of clusters. Finelly you will get a set of clusters each with a different name (argument) ;)
NelSenso.Net apps supports the following languages: Italian, English, French, German, Spanish, Portuguese, Greek, Russian, Polish, Swedish, Czech, Romanian, Bulgarian, Hungarian, Arabic, Chinese.
NelSenso.Net apps supports documents in plain text format, through copy-paste of the content and hypertext (html) through the relative web address (URL). At the moment the NelSenso.Net tools do not support files (pdf, word, excel, powerpoint, etc.) whether they are on your computer or on the cloud (Google Documents, etc).
The NelSenso.Net tools includes in their functionality settings that allow you, indicatively, to customize the percentage of the desired summary.
No, but almost ;) The NelSenso.Net tools allow you to summarise or edit up to the first 10000 characters. For larger documents it will be necessary to divide them into different texts of a compatible size.
Of course you can! You can currently use the NelSenso.Net tools for free.
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News
jun/24 1
Version 5.0 of the NelSenso.Net apps has been released with numerous improvements in the AI algorithms (entities detection and automatic morphological-grammatical analysis)
fev/24 18
New! Summazer not only highlights the most semantically relevant sentences, but also displays in bold those that are fundamental and underlines those that characterise the context or knowledge domain
dez/23 17
New! Summazer now automatically detects the rule of five "W": Who, What, Where, When, Why
out/23 26
Clustezer, the online text-clustering app, now also supports Oriental languages: Arabic, Chinese, etc.
set/23 17
Summazer automatically detects the main subject matter of the processed text, improving the quality of the extracted summary.
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