Онлайн резюме: Summazer
Free online summarization tool
Освен компресията, Съмазер извършва също проверка и корекция на правописа, граматически и морфологичен анализ. Той идентифицира най - важните изречения, ключови концепции/ герои, споменати релевантни места в текста и тенденции на семантичната свързаност. Ключовите фрази се подчертават, като размерът на шрифта отразява тяхната семантична важност.Инструментът също генерира осмислени заглавия и хаштагове, използвайки идентифицираните ключови думи. Чрез щракване върху извлечените хаштагове можете да получите изображения, за да обогатите своите статии или публикации.
Features
🔝 AI Powered | Sums up text with Top AI |
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📌 Locations | Detection of the most relevant geographical areas and towns in the text |
💪 Long texts | NelSenso.Net apps support text up to 32000 characters long. |
🏷 Matter of the text | Summazer automatically determines the main subject matter of the processed text |
🌐 Multilingual | 25 Supported Languages |
🌄 Pictures | Find the photos most relevant to your article or paper |
💲 Price | 100% Free |
🔒 Privacy | All the processed texts is not stored or shared with anyone. We value your privacy. |
📈 Relevance trends | Graphically discover the most salient points of a text |
💗 Sentiment | Tone analysis of opinions |
📝 Spell checker | online powerfull spell checker |
📐 Summary length | Select your preferred summary length |
FAQs
In addition to highlighting the most important phrases, Summazer allows you to analyze, with a graph, the trend of semantic relevance within the text, in order to provide an immediate picture of the sections of the text to which you want to give greater evidence (typically a good text - especially if it is intended for the Web , should carry the salient parts at the beginning and at the end in order to immediately provide the reader with the meaning of the message you want to provide). Finally, Summazer reports an innovative indicator of the "summarizability" of the processed text (SoT).
If the summarizability (SoT) is low it may depend on the presence of spelling errors, excessive use of obsolete or foreign words, or the processed text is full of sentences that are not very related to each other from a semantic point of view (as happens, for example, if you summarize an entire web page, instead of selecting and pasting only the text that actually conveys the meaning of the article).
- It identifies the typology of the text elaborated, currently the recognized typologies include: narrative passages, argumentative texts and informative texts .
- Extracts the principal named entities (proper names, locations, etc ...) in the form of hashtags for which it is then possible to search for images using the "Unsplash" search engine ( Unsplash: Beautiful Free Images & Pictures) to enrich your post, article or essay.
- Highlight sentences with the highest information content in the elaborated text.
- It also provides a series of graphs to highlight the "behind the scenes" of the application, that is: the analysis of the trend of the semantic relevance within the processed text and the statistical distribution (Gaussian) of the semantic relevance . Long and well-written texts will be characterized by narrow bell curves shifted far to the right with respect to the ordinate axis (i.e. texts with a high expected value of semantic relevance and few frequency values cluster around the average value). On the other hand, texts that cannot be summarized (because they have several paragraphs that are not semantically related to each other) are characterized by large bells centered with respect to the ordinate axis, or with a very low expected value.
The index of Exhaustiveness refers to the level of logical-grammatical completeness of the sentences extracted from the apps to generate the summary of the elaborated text. A high Exhaustiveness index is preferable if the processed text comes from a web page that contains different types of texts that are often poorly related to the main body of the text. A medium-low Exhaustiveness index is preferable for narrative/argumentative texts (text plain).
Apps
Feedback
News
юни/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)
фев/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
дек/23 17
New! Summazer now automatically detects the rule of five "W": Who, What, Where, When, Why
окт/23 26
Clustezer, the online text-clustering app, now also supports Oriental languages: Arabic, Chinese, etc.
сеп/23 17
Summazer automatically detects the main subject matter of the processed text, improving the quality of the extracted summary.